Data Scientist Jobs in Salt Lake City, UT

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment. Data Pipeline Development: + Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services. + Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts. + Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment. + Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users. Log Aggregation & Metrics Collection: + Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems. + Develop custom Lua functions and regex parsers for transforming and routing logs as required. Data Analysis, Visualization & Alerting: + Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity. + Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services. + Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues. + Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL. Cluster Management & Data Storage: + Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying. + Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance. + Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment. Application Performance Monitoring: + Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance. **Qualifications** HS Diploma with 9+ years' experience/professional Clearance: Top Secret Required Skills and Experience + Must have IAT level II/III certification (i.e., CompTIA Security+(CE)) + Must have experience and certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation. + Proficiency in Python for developing and maintaining data pipelines. + Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk. + Experience deploying and configuring agents for log aggregation and system monitoring. + Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation. + Effective written and oral communication skills + Certification(s) in relevant technologies \#NSS \#AR \#maverick **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $155,000.00 - USD $172,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6056_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**A Day in the Life:** At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to: + Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time. + Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively. + Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends. + Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards. We anticipate the salary to start around 160K; commensurate with experience. What You Will Do: + Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation). + Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services. + Cross validating production models to ensure high performance and generalizability + Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management + Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs. + Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics. + Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create. + Provide technical leadership to more junior Data Scientist team members. What We are Looking For: + 5-8 years hands-on experience in a data science role + 5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) + 5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment) + Demonstrated experience using machine learning to drive a business impact + Strong experience with statistical analysis, statistical modeling, and machine learning techniques + Experience mentoring and supporting development of more junior scientists + Experience in a ML or data scientist role with a technology company + Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science + Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science What You'll Get: + Up to 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Job Description Please Note: This is a hybrid role based in Utah—only local applicants will be considered. If you're open to relocating, please let us know in your application. About Smule At Smule, we don’t just build apps—we build connections through music. Join a team where your work will inspire millions to create and collaborate. Be part of a global movement that turns musical dreams into reality About the Role We're looking for a Data Scientist to help take our product and analytics capabilities to the next level. You'll join a lean, cross-functional data team where you'll work across the full stack, from deep user analysis, KPI development, and A/B testing to building ranking models that power personalized user experiences. Our team includes experienced ML and BI Engineers and Analysts, and reports directly to the Director of Data. We're collaborative, fast-moving, and deeply connected to the product: we're responsible for everything from executive reporting to developing machine learning models that improve user engagement and satisfaction. You'll operate across this full stack, supporting product discovery through deep user and business analysis, helping define and test success through experimentation, and building embedding-based retrieval, re-ranking, and recommendation systems. This role is ideal for someone who thrives at the intersection of data science, product thinking, and engineering: someone who is excited to drive impact from prototype to production. Product & Experimentation Support Work closely with Product to define success metrics, analyze user behavior, drive A/B tests and interpret their results. Contribute to the design of controlled experiments, including power analysis, segmentation, and instrumentation planning. Partner with PMs in an assigned squad to monitor KPI health post-release and continuously iterate on the product with a bias for impact. Maintain (or occasionally build) Tableau dashboards and internal metric frameworks that help teams inform their decisions. Search & Recommendation Systems Work alongside ML Engineers to move promising prototypes into production, contributing features, evaluation logic, and model tuning strategies. Help design and iterate on a hybrid retrieval-reranking pipeline, combining lexical scoring (e.g. BM25) with embedding-based similarity (semantic vectors). Train and evaluate models that embed user queries and catalog items into a shared vector space using tools like SBERT, CLAP, or custom transformer heads. Contribute to ANN-based retrieval (e.g. FAISS, HNSW in Elasticsearch) and deep re-ranking models that improve content relevance and personalization. Collaborate with ML Engineers to maintain and improve existing recommendation systems Modeling & Personalization Develop models for user segmentation, content affinity, churn prediction, and lifecycle modeling — using statistical or ML approaches as appropriate. Partner with ML Engineers to validate offline performance, manage feature versioning, and test production models through staged rollout or shadow deployment. Investigate and prototype embedding-based re-rankers, user profile vectors, and intent prediction models to increase downstream engagement. Data Infrastructure & Collaboration Partner with BI Engineers to improve our analytics layer (Airflow, dbt), enhance schema design, and automate recurring data quality checks. Write modular, maintainable code in Python for analysis, modeling, and batch/real-time inference tasks. Contribute to shared libraries or internal packages for metrics, feature engineering, or evaluation logic. About You 3+ years experience in a data science, applied ML, or product analytics role Bachelor’s degree in statistics, mathematics, computer science, or related field (Master’s or PhD preferred) Understanding of experiment design, including segmentation, causal inference, or uplift modeling Strong communication skills and ability to work with stakeholders across engineering, product, and executive functions Strong SQL and Python skills — you’re comfortable writing complex joins, CTEs, and analytical functions in SQL, and working with Pandas, Scikit-Learn, and PyTorch. Experience with search, recommendations, or retrieval-based ranking systems, including familiarity with: Lexical vs semantic retrieval tradeoffs Query/item embeddings ANN search and vector indexing (e.g. FAISS, HNSW) Ranker evaluation (MRR, nDCG, recall@k) A working understanding of how embedding similarity integrates with lexical ranking (e.g., hybrid scoring, reciprocal rank fusion, weighted sum). Familiar with the modern data stack (Snowflake, dbt, Airflow, Tableau), and capable of working across it to support both analysis and production ML workflows. Nice to Have Experience with embedding models like SBERT, CLAP, MuLan, or fine-tuning transformer architectures for domain-specific tasks Familiarity with model monitoring, version control for ML artifacts, and deployment pipelines Prior experience with music/audio tech, content platforms, or recommendation-heavy consumer products Why This Role? Real Impact: You’ll work on features directly tied to user experience and platform growth, including smarter discovery, personalization, and lifecycle touchpoints. Technical Breadth: From dashboards to deployed ranking models, you’ll touch the full stack of data work in a fast-paced, creative environment. Growth Opportunity: You’ll be supported by the Director of Data and have the freedom to grow your role toward product analytics, engineering, or modeling specialization, based on your strengths and interests. Why Smule? Collaborate with a global team passionate about music and innovation. Work on exciting projects that shape how millions connect and create. Be part of a company that values creativity, curiosity, and impact. Ready to turn data into harmony? Apply today and let’s make music together! Smule is an Equal Opportunity Employer We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and experiences, and we evaluate all qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. If you need assistance or an accommodation during the application process, please contact us Powered by JazzHR GSLc3yd9R2

Are you looking for a career-defining challenge working on building AI and physic-inspired tools for autonomous control building solutions? PassiveLogic is the first fully autonomous platform for buildings. We've reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world's carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions. We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives-backed by the world's leading investors-working together to make the future a reality. About the Role This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. As an AI Benchmark Architect, you will play a foundational role in our Qortex team, focusing on applying advanced analytics to identify best practices for various neural net and knowledge graph models that can improve our generative models and RAG algorithms for building performance, occupant comfort, and sensing algorithms. What you'll do Performance Metrics Design and Analysis: Ability to define and interpret key performance indicators (KPIs) for autonomous systems, such as accuracy, latency, robustness, and efficiency. Expertise in designing meaningful benchmarks that evaluate real-world performance. Data Collection and Management: Acquire and manage a variety of data including sensors and control data from PassiveLogic's deployed Hive Controller systems, and virtual data from the simulation environment. Data Analysis: Conduct an in-depth analysis of the collected data, identifying patterns, insights, and anomalies that can influence the system's performance. Collaborate with the Formal Methods team to provide refinement ideas to automate the physical and statistical-based testing of our systems and algorithms in simulated and deployed buildings. Design a contribution roadmap to open source, develop, and maintain datasets: Create evaluation metrics that measure the performance and fairness of AI models across diverse tasks. They ensure that benchmarks are comprehensive, reproducible, and aligned with real-world applications while actively collaborating with the open-source community to promote transparency, inclusivity, and innovation. Presentation of Findings: Communicate complex data findings to technical and non-technical stakeholders, including creating visualizations, reports, and presentations. What you'll bring If your experience does not meet all our posted requirements below, we'd still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that's you, please apply! You must have Proven experience: MS/PhD in Data Science, Computer Science, Mechanical/Electrical Engineering, Civil Engineering, or equivalent experience. Strong statistical analysis skills and experience with machine learning techniques Proficiency in programming languages (Python, C++, Swift, Rust, etc) Exceptional Communication Skills: Demonstrates the ability to effectively articulate complex technical concepts related to deploying autonomous systems and advanced programming in Swift. Excels at translating technical features into compelling narratives that resonate with both technical and non-technical audiences. Organized and Strategic: Skilled in planning and executing the deployment of autonomous systems with precision, ensuring all aspects-from system integration to scalability-are managed with a high level of attention to detail. Collaborative Mindset: Thrives in team environments, working closely across disciplines to align strategies for system deployment, programming, and sustainable design with overarching project and organizational goals. Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate. Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up. You should have Understanding of the built environment and cyber-physical systems: Demonstrate a strong knowledge of how physical infrastructure integrates with digital technologies, enabling the creation of intelligent and adaptive systems. Experience with validation frameworks for autonomous systems: Proven ability to design and implement robust validation frameworks to ensure the reliability and performance of autonomous systems across diverse conditions. Proficiency in reasoning and inferencing: Skilled in applying advanced reasoning and inferencing techniques to enhance decision-making processes and optimize system intelligence. Experience with relational databases: Demonstrated experience in managing and optimizing relational databases like PostgreSQL and MySQL to efficiently store, retrieve, and analyze complex datasets. Familiarity with building energy modeling software: Knowledgeable in tools such as EnergyPlus, Modelica, and IES, leveraging them to simulate and optimize building energy performance and sustainability. It's helpful to have Experience in deploying autonomous systems: Demonstrated expertise in implementing and integrating autonomous systems, ensuring reliable performance, scalability, and seamless functionality across diverse environments. Proficiency with Swift programming language: Skilled in utilizing Swift to design, develop, and optimize software applications, leveraging its advanced features to deliver efficient and scalable solutions. Solid understanding of building physics and HVAC systems: Comprehensive knowledge of building physics, including heat transfer and HVAC systems, enabling the creation of energy-efficient and sustainable designs tailored to complex operational requirements. We know there are candidates who might not fit everything we've described above, or who might have experience and skills we haven't considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don't meet all the requirements above, we still want to hear from you. Compensation, Benefits & Perks: Competitive compensation Generous equity share package Medical, dental and vision coverage Disability and life Insurance options Flex PTO Team-building events Free catered lunch in the office Monday - Friday Free ski pass (We are at the base of Big Cottonwood Canyon) Free National Park pass When applying, include: A cover letter telling us why you're the perfect candidate for PassiveLogic A resume Extra mile - include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative Diversity and inclusion Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all-come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.

General Atomics Integrated Intelligence, Inc. (GA-I3), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in! GA-I3 is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them. DUTIES AND RESPONSIBILITIES: Design, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches. Communicate insights and findings from analysis and experiments to product, service, and business managers. Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Interact with product and service teams to identify questions and issues for data analysis and experiments. Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication. Represent the organization as a contact with internal and external representatives. Maintain the strict confidentiality of sensitive information. Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education. Willing to obtain Top Secret/SCI clearance with CI Poly Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts. Must be able to work both independently and in a team environment. Able to work extended hours as required. PREFERRED SKILLS AND EXPERIENCE: Active TS/SCI Clearance with CI Poly Prior experience with gym , Unity, Unreal, or some other simulation environments Researched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment Trained deep reinforcement learning algorithms for coordination of multiple, autonomous goals Performed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables Prior experience in domains/industries like: robotics, space mission planning, large industrial facility automation, robust and resilient communications Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) Proficiency in one or more of: Python, C++, Java, R, Julia, Matlab Ability to understand and implement new models from the literature Experience with geospatial data and analytics. Familiarity with Intelligence Community and DoD mission sets.

I am Ron Ross, VP Data at the Bank of Utah. Founded in 1952, Bank of Utah is one of Utah's largest, privately owned community banks. Here we strive to unlock the potential of our team members, clients, and community. We act with integrity in every decision, build trust through every interaction, and exceed expectations at every opportunity. We seek to responsibly create lasting prosperity today and for generations to come. We are currently looking for a Data Scientist to work Monday - Friday at our Branch located at 2605 Washington Blvd, Ogden, UT. The Data Scientist at Bank of Utah leverages advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making. This role focuses on developing predictive models, optimizing business processes, and extracting insights from large datasets to enhance banking operations, risk management, and customer experience. The Data Scientist collaborates with business units, IT, and compliance teams to ensure data-driven solutions align with strategic goals while maintaining regulatory and security standards. Job Qualifications: Education - Bachelor's in Data Science, Mathematics, Statistics, or a related field OR equivalent industry experience Statistical & Machine Learning Expertise - Strong understanding of predictive modeling, classification, clustering, and deep learning techniques to solve complex business problems. Programming & Data Manipulation - Proficiency in Python, R, and SQL for data extraction, transformation, and analysis. Big Data & Cloud Technologies - Experience with cloud platforms (e.g., Snowflake, Azure) and distributed computing frameworks. Data Visualization & Storytelling - Ability to communicate insights effectively using tools like Tableau, Power BI, or Matplotlib. Banking & Risk Analytics Knowledge - Familiarity with financial modeling, fraud detection, credit risk assessment, and customer segmentation. Benefits of Working with Us: Bank of Utah's comprehensive benefits package includes: Great work-life balance, with a Monday-Friday schedule Competitive pay and benefits, including medical, dental and vision plans 401(k) plan and match up to 5 percent in our employee stock ownership program (eligibility requirements must be met) 12 paid bank holidays + paid time off, including paid parental leave Volunteer opportunities to make a difference in the communities where you work and live Awards and recognition to celebrate you and your colleagues for living the bank's values Regular duties and responsibilities: Develop Predictive & Machine Learning Models - Build and deploy models for fraud detection, customer retention, credit risk assessment, and operational efficiency. Analyze Banking Data Trends - Identify patterns in customer behavior, lending risks, and operational inefficiencies to drive business strategy. Enhance Data-Driven Decision-Making - Provide insights and recommendations to optimize products, services, and business processes. Work with Large Datasets - Extract, clean, and analyze structured and unstructured data from core banking systems and external sources. Collaborate with Stakeholders - Partner with business leaders to define use cases and ensure models align with strategic goals. Ensure Regulatory & Ethical Compliance - Develop AI solutions that adhere to banking regulations and ethical AI principles. *The wage listed is within the range associated with this position. Actual compensation will be based on qualifications and experience.

Task Force Talent is seeking senior-level data scientists (multiple openings) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 250k+ as well as equity; comp packages depend on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.) The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.) _______________________________________________________________________________________________________________________________________________ Qualifications U.S. Citizen Any scientific or engineering background with strong software skills and experience Comfortable and experienced with coding (Python, SQL, R, etc.), statistical models, and data challenges. Note: These data science positions have significant coding components. To be competitive in the technical interviews, candidate experience should extend beyond building dashboards. Experience creating and implementing methods for production processing environment Solid teamwork, time management, and collaboration skills 5+ years experience BONUS: Foreign language fluency, particularly languages associated with threat actors ______________________________________________________________________________________________________________________________________ Interview Process This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. _____________________________________________________________________________________________________________________________________ About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at: ****************************************************************************************

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses-from startups to established brands-make smarter decisions and gain control of their operations. And we don't stop there: we're creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that's ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity-and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. At BILL, we listen, learn, and lead-fostering collaboration and a drive for continuous growth. We're committed to building a diverse and inclusive workplace that values each person's unique skills and experiences. Even if you don't meet every requirement, we'd love to hear from you-you might be just what we're looking for, whether in this role or another. Let's give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company We are looking for a talented, enthusiastic and results driven individual to join BILL's Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and strategy development at BILL. This position requires a candidate who has experience working with machine learning models, performing analytics and designing risk strategies in the credit risk domain. We'd love to chat if you have: * 2+ years of experience in risk analytics or data science within credit or online payment industry * Master's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science or related field or equivalent practical experience * Demonstrated history of addressing business challenges using data and analytics * Proficiency in SQL, Python and Tableau or other dashboard tools * Experience working with machine learning models and model driven strategies * A keen interest in gaining in-depth knowledge in the domain, particularly in credit risk, with an openness to learn * Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations * Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes * Bonus: Experience with AWS suite and DBT The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. San Jose pay range $110,200-$132,100 USD The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL's bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. Draper UT pay range $93,700-$112,300 USD What's in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn't only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL: * 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP) * HSA & FSA accounts * Life Insurance, Long & Short-term disability coverage * Employee Assistance Program (EAP) * 11+ Observed holidays and wellness days and flexible time off * Employee Stock Purchase Program with employee discounts * Wellness & Fitness initiatives * Employee recognition and referral programs * And much more Don't believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages. BILL is an Equal Opportunity Employer that values diversity and inclusion. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture. We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date 05/19/2025 Requisition Number PRN41956B Job Title Data Scientist Working Title Data Scientist Job Grade H FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday - Friday; business hours. This job is primarily remote with some expectation for occasional onsite work. The selected candidate will begin no sooner than July 1, 2025. VP Area U of U Health - Academics Department 01473 - SOM Administration Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $88,000 - 92,000/annual Close Date 07/19/2025 Priority Review Date (Note - Posting may close at any time) Job Summary The Data Scientist will play a crucial role in supporting data analysis and management for the MD Program at the Spencer Fox Eccles School of Medicine. This position works closely with the Assessment Program Leadership Team and other leaders to wrangle data, analyze data sets, develop predictive and inferential statistical models, and provide actionable insights to improve educational outcomes and assessment processes. The ideal candidate will have a strong background in data management and statistical analysis and a passion for enhancing medical education through data-driven decision-making. Moreover, the successful candidate will demonstrate: (1) familiarity with a variety of the field's concepts, practices, and procedures; (2) ability to initiate and drive projects to completion with minimal guidance; (3) ability to communicate the results of analyses in a clear and effective manner; (4) mastery of relevant data management approaches and statistical analysis; and (5) experience and judgment to plan and accomplish goals. Because the Data Scientist performs a variety of tasks and leads and directs the work of others, a wide degree of creativity and latitude is expected. Our generous University staff benefits package includes but is not limited to: healthcare and dental plan options, tuition reduction, UTA pass (Bus, TRAX, & FrontRunner),paid holidays, paid leave time, employer and employee paid retirement, and more! Responsibilities * Collaborate with the Assessment Program Leadership Team and other MD Program leaders to identify data needs and develop strategies for data management, aggregation, analysis, interpretation, and secure distribution. * Work closely with leadership to develop technological solutions for its major projects. * Provide technical expertise in data management, including data cleaning, preprocessing, and integration. * Analyze MD Program medical student performance data and other data sets to uncover trends, patterns, and insights. * Develop and implement predictive and inferential models to forecast student performance and identify areas for student and program improvement. * Create visualizations and dashboards to enhance interpretation of analyses and to communicate findings to stakeholders. * Prepare reports and presentations to share insights with faculty, administrators, students, and others. * Gather, organize, analyze, present, and distribute MD program student performance data. * Stay current with advancements in data science to apply innovative techniques to educational assessment. * Develop an intimate understanding of the performance data within the overall MD Program. Disclaimer This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications Bachelor's Degree and 6-8 years of related experience in the field or related area or equivalency (one year of education can be substituted for two years of related work experience) required. This position has no responsibility for providing care to patients. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description. Preferences * Experience in secondary, post-secondary, or graduate education * Experience working with higher education data * Familiarity with FERPA compliance * Detail oriented * Ability to work independently * Strong analytic abilities * Excellent communication skills, especially ability to communicate technical information to non-technical teammates Type Benefited Staff Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at ************** for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at ************** or ************** or University Human Resource Management at ************** if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients. All qualified individuals are strongly encouraged to apply. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at: *************************************** Online reports may be submitted at oeo.utah.edu ************************************ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Posting Specific Questions Required fields are indicated with an asterisk (*). * * Do you have experience working with higher education data? Please reference this experience in your cover letter. * Yes * No Applicant Documents Required Documents * Resume * Cover Letter Optional Documents * Historical Only - Do Not Use - See Description for More Information - Appropriate discharge document (such as DD-2214) - Veteran Only * Historical Only - Do Not Use - See Document Description for More Information - Addendum to the University of Utah - Veteran Only

div class="external Posting" p style="margin-bottom:11.0px"span style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future./span/span/span/p p style="margin-bottom:11.0px"span style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes./span/span/span/p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Summary:/span/b/span/span/p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"In this role, you will help drive Vivint's data platform. You will work with a talented team of data scientists and engineers to provide insights across the organization.b /bAs a Data Engineer, you will be instrumental in designing, building, and maintaining robust datasets and ETL (Extract, Transform, Load) pipelines that process and integrate large volumes of IoT (Internet of Things) data. Your work will empower business users by delivering high-quality, actionable insights and facilitating data-driven decision-making across the organization./span/span/span/p p /p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Primary Responsibilities:/span/b/span/span/p ul lispan style="font-size:11.0pt"spanspanspan style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Design and Develop ETL Pipelines:/span/bspan style="font-size:12.0pt" Architect, implement, and optimize ETL processes to handle the ingestion, transformation, and storage of large-scale IoT data streams. Ensure data accuracy, consistency, and availability for analysis./span/span/span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Create and Maintain Datasets:/span/bspan style="font-size:12.0pt" Develop and manage comprehensive datasets that aggregate IoT data from various sources. Ensure datasets are well-structured, accessible, and aligned with business needs./span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Data Integration and Optimization:/span/bspan style="font-size:12.0pt" Integrate disparate data sources and optimize data storage and retrieval processes to support efficient querying and reporting. Implement best practices for data quality and performance./span/span/span/span/li lispan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Collaborate with Stakeholders:/span/bspan style="font-size:12.0pt" Work closely with business users, data scientists, and analysts to understand data requirements and translate them into technical solutions. Provide support and troubleshooting for data-related issues./span/span/span/span/li lispan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Monitor and Improve Data Systems:/span/bspan style="font-size:12.0pt" Continuously monitor the performance of data pipelines and datasets. Identify and address potential issues, and implement improvements to enhance efficiency and reliability./span/span/span/span/li lispan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Documentation and Compliance:/span/bspan style="font-size:12.0pt" Document data processes, pipeline architectures, and system changes. Ensure compliance with data governance and security policies./span/span/span/span/li /ul p /p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Required Skills: /span/b/span/span/p p /p ul lispan style="font-size:11.0pt"spanspanspan style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Minimum of 4 years of professional experience in data analysis or data engineering /span/span/span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Experience with Big Data/Hadoop applications. /span/span/span/li lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Experience with Spark, Hive, Kafka, and Map Reduce/span/span/span/li lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"SQL experience and strong background in optimizing SQL queries for transforming data/span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Experience with different data formats (Parquet, Arvo, Json, XML, etc.) /span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Experience bringing in data from multiple Data Sources / API's /span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Building and Debugging Data Pipelines /span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Distributed systems (pipelines and databases) /span/span/span/li /ul ul style="margin-bottom:16.0px;margin-top:16.0px" lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Proficient in Python development for data pipelines and automation, including debugging, testing, and handling development. At least 2 years experience preferred. /span/span/span/li /ul ul lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Experience in Linux environments, batch automation, and shell scripts/span/span/span/li /ul p /p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Nice To Have:/span/b/span/span/p ul lispan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, Snowflake)/span/span/span/li /ul p /p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"bspan style="font-size:12.0pt"Required Education/Experience: /span/b/span/span/p ul lispan style="font-size:11.0pt"spanspanspanspan style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience./span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspanspan style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"3+ years work experience./span/span/span/span/span/span/li /ul p /p p /p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Learn about the /spana href="*************************************** style="color:#0563c1;text-decoration:underline"span style="font-size:12.0pt"Vivint Culture/span/aspan style="font-size:12.0pt" and why it's a great place to grow your career!/span/span/span/p pspan style="font-size:11.0pt"span style="font-family:Calibri, sans-serif"span style="font-size:12.0pt"Here are some highlighted perks you should ask us about:/span/span/span/p ul lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#4a4a4a"Free daily lunch and drinks on site/span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#4a4a4a"Paid holidays and flexible paid time away/span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#4a4a4a"Employee/spanspan style="color:#3b3838"/Friends/Family Discounts /span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#4a4a4a"Onsite /spanspan style="color:#3b3838"health clinic, gym, gaming tables/span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="border:none windowtext 1.0pt;color:#3b3838;padding:0.0in"Medical/dental/vision/life/spanspan style="color:#3b3838" coverage amp; 24/7 Medical Hotline/span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#3b3838"401(k) + Employer Match/span/span/span/span/span/span/li lispan style="font-size:11.0pt"spanspanspan style="vertical-align:baseline"span style="font-family:Calibri, sans-serif"span style="color:#3b3838"Employee Resource Groups/span/span/span/span/span/span/li /ul p /p pspan style="font-size:12.0pt"span style="font-family:'Times New Roman', serif"bspan style="font-size:9.0pt"span style="font-family:'Calibri', sans-serif"WORKING CONDITIONS: /span/span/b/span/span/p h3span style="font-size:13.5pt"span style="font-family:'Times New Roman', serif"b style="font-weight:bold"emspan style="font-size:10.0pt"span style="font-family:'Calibri', sans-serif"This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines./span/span/em/b/span/span/h3 h3 /h3 pspan style="font-size:12.0pt"span style="font-family:'Times New Roman', serif"bspan style="font-size:9.0pt"span style="font-family:'Calibri', sans-serif"SAFETY:/span/span/b/span/span/p h3span style="font-size:13.5pt"span style="font-family:'Times New Roman', serif"b style="font-weight:bold"emspan style="font-size:10.0pt"span style="font-family:'Calibri', sans-serif"Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues./span/span/em/b/span/span/h3 p /p pspan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. /span/span/span/p pspan style="font-size:11.0pt"spanspan style="font-family:Calibri, sans-serif"Official description on file with Talent./span/span/span/p /div

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. **Summary:** In this role, you will help drive Vivint's data platform. You will work with a talented team of data scientists and engineers to provide insights across the organization. As a Data Engineer, you will be instrumental in designing, building, and maintaining robust datasets and ETL (Extract, Transform, Load) pipelines that process and integrate large volumes of IoT (Internet of Things) data. Your work will empower business users by delivering high-quality, actionable insights and facilitating data-driven decision-making across the organization. **Primary Responsibilities:** + **Design and Develop ETL Pipelines:** Architect, implement, and optimize ETL processes to handle the ingestion, transformation, and storage of large-scale IoT data streams. Ensure data accuracy, consistency, and availability for analysis. + **Create and Maintain Datasets:** Develop and manage comprehensive datasets that aggregate IoT data from various sources. Ensure datasets are well-structured, accessible, and aligned with business needs. + **Data Integration and Optimization:** Integrate disparate data sources and optimize data storage and retrieval processes to support efficient querying and reporting. Implement best practices for data quality and performance. + **Collaborate with Stakeholders:** Work closely with business users, data scientists, and analysts to understand data requirements and translate them into technical solutions. Provide support and troubleshooting for data-related issues. + **Monitor and Improve Data Systems:** Continuously monitor the performance of data pipelines and datasets. Identify and address potential issues, and implement improvements to enhance efficiency and reliability. + **Documentation and Compliance:** Document data processes, pipeline architectures, and system changes. Ensure compliance with data governance and security policies. **Required Skills:** + Minimum of 4 years of professional experience in data analysis or data engineering + Experience with Big Data/Hadoop applications. + Experience with Spark, Hive, Kafka, and Map Reduce + SQL experience and strong background in optimizing SQL queries for transforming data + Experience with different data formats (Parquet, Arvo, Json, XML, etc.) + Experience bringing in data from multiple Data Sources / API's + Building and Debugging Data Pipelines + Distributed systems (pipelines and databases) + Proficient in Python development for data pipelines and automation, including debugging, testing, and handling development. At least 2 years experience preferred. + Experience in Linux environments, batch automation, and shell scripts **Nice To Have:** + Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, Snowflake) **Required Education/Experience:** + Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. + 3+ years work experience. Learn about the Vivint Culture (*************************************** and why it's a great place to grow your career! Here are some highlighted perks you should ask us about: + Free daily lunch and drinks on site + Paid holidays and flexible paid time away + Employee/Friends/Family Discounts + Onsite health clinic, gym, gaming tables + Medical/dental/vision/life coverage & 24/7 Medical Hotline + 401(k) + Employer Match + Employee Resource Groups **WORKING CONDITIONS:** **_This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines._** **SAFETY:** **_Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues._** NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent.

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment. Data Pipeline Development: + Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services. + Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts. + Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment. + Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users. Log Aggregation & Metrics Collection: + Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems. + Develop custom Lua functions and regex parsers for transforming and routing logs as required. Data Analysis, Visualization & Alerting: + Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity. + Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services. + Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues. + Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL. Cluster Management & Data Storage: + Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying. + Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance. + Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment. Application Performance Monitoring: + Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance. **Qualifications** HS Diploma with 9+ years' experience/professional Ability to obtain a Top Secret Required Skills and Experience + Must have IAT level II/III certification (i.e., CompTIA Security+(CE)) + Must have experience and certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation. + Proficiency in Python for developing and maintaining data pipelines. + Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk. + Experience deploying and configuring agents for log aggregation and system monitoring. + Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation. + Effective written and oral communication skills + Certification(s) in relevant technologies \#NSS \#AR **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $130,000.00 - USD $155,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6072_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure. 2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives. 3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams. 4. Drive execution through fast iteration. 5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps. 6. Drive efficient data exploration and modeling. 7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies. 8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. 9. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 10. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following: 11. 1. Quantative Analysis 12. 2. A/B Testing and Research Design 13. 3. Statistical Modeling 14. 4. Data Mining 15. 5. Data Visualization and Storytelling 16. 6. SQL 17. 7. Python. **Public Compensation:** $221,024/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Please Note: This is a hybrid role based in Utah-only local applicants will be considered. If you're open to relocating, please let us know in your application. At Smule, we don't just build apps-we build connections through music. Join a team where your work will inspire millions to create and collaborate. Be part of a global movement that turns musical dreams into reality About the Role We're looking for a Data Scientist to help take our product and analytics capabilities to the next level. You'll join a lean, cross-functional data team where you'll work across the full stack, from deep user analysis, KPI development, and A/B testing to building ranking models that power personalized user experiences. Our team includes experienced ML and BI Engineers and Analysts, and reports directly to the Director of Data. We're collaborative, fast-moving, and deeply connected to the product: we're responsible for everything from executive reporting to developing machine learning models that improve user engagement and satisfaction. You'll operate across this full stack, supporting product discovery through deep user and business analysis, helping define and test success through experimentation, and building embedding-based retrieval, re-ranking, and recommendation systems. This role is ideal for someone who thrives at the intersection of data science, product thinking, and engineering: someone who is excited to drive impact from prototype to production. Product & Experimentation Support Work closely with Product to define success metrics, analyze user behavior, drive A/B tests and interpret their results. Contribute to the design of controlled experiments, including power analysis, segmentation, and instrumentation planning. Partner with PMs in an assigned squad to monitor KPI health post-release and continuously iterate on the product with a bias for impact. Maintain (or occasionally build) Tableau dashboards and internal metric frameworks that help teams inform their decisions. Search & Recommendation Systems Work alongside ML Engineers to move promising prototypes into production, contributing features, evaluation logic, and model tuning strategies. Help design and iterate on a hybrid retrieval-reranking pipeline, combining lexical scoring (e.g. BM25) with embedding-based similarity (semantic vectors). Train and evaluate models that embed user queries and catalog items into a shared vector space using tools like SBERT, CLAP, or custom transformer heads. Contribute to ANN-based retrieval (e.g. FAISS, HNSW in Elasticsearch) and deep re-ranking models that improve content relevance and personalization. Collaborate with ML Engineers to maintain and improve existing recommendation systems Modeling & Personalization Develop models for user segmentation, content affinity, churn prediction, and lifecycle modeling - using statistical or ML approaches as appropriate. Partner with ML Engineers to validate offline performance, manage feature versioning, and test production models through staged rollout or shadow deployment. Investigate and prototype embedding-based re-rankers, user profile vectors, and intent prediction models to increase downstream engagement. Data Infrastructure & Collaboration Partner with BI Engineers to improve our analytics layer (Airflow, dbt), enhance schema design, and automate recurring data quality checks. Write modular, maintainable code in Python for analysis, modeling, and batch/real-time inference tasks. Contribute to shared libraries or internal packages for metrics, feature engineering, or evaluation logic. About You 3+ years experience in a data science, applied ML, or product analytics role Bachelor's degree in statistics, mathematics, computer science, or related field (Master's or PhD preferred) Understanding of experiment design

**A Day in the Life:** At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to: + Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time. + Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively. + Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends. + Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards. The starting salary for this role is $110K; commensurate with experience. **What You Will Do:** + Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation). + Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services + Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management + Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs. + Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics. **What We are Looking For:** + 3-5 years hands-on experience in a data scientist role + 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) + 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment) + Demonstrated experience using machine learning to drive a business impact + Experience in a ML or data scientist role with a technology company + Bachelor or Masters degree in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering **What You'll Get:** + Up to 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 07/30/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. **Summary:** In this role, you will help drive Vivint's data platform. You will work with a talented team of data scientists and engineers to provide insights across the organization. As a Data Engineer, you will be instrumental in designing, building, and maintaining robust datasets and ETL (Extract, Transform, Load) pipelines that process and integrate large volumes of IoT (Internet of Things) data. As a Data Engineer, you will be instrumental in designing, optimizing, and maintaining robust datasets that support machine learning models and power personalized user experiences. Your work will enable data-driven decision-making by ensuring high-quality, feature-rich data is readily available for analytics and product development. **Primary Responsibilities:** + **Design and Develop ETL Pipelines:** Architect, implement, and optimize ETL processes to handle the ingestion, transformation, and storage of large-scale IoT data streams. Ensure data accuracy, consistency, and availability for analysis. + **Create and Maintain Datasets:** Develop and manage comprehensive datasets that aggregate IoT data from various sources. Ensure datasets are well-structured, accessible, and aligned with business needs. + **Data Integration and Optimization:** Integrate disparate data sources and optimize data storage and retrieval processes to support efficient querying and reporting. Implement best practices for data quality and performance. + **Collaborate with Stakeholders:** Work closely with business users, data scientists, and analysts to understand data requirements and translate them into technical solutions. Provide support and troubleshooting for data-related issues. + **Monitor and Improve Data Systems:** Continuously monitor the performance of data pipelines and datasets. Identify and address potential issues, and implement improvements to enhance efficiency and reliability. + **Documentation and Compliance:** Document data processes, pipeline architectures, and system changes. Ensure compliance with data governance and security policies. **Required Skills:** + Minimum of 4 years of professional experience in data analysis or data engineering + Experience with Big Data/Hadoop applications. + Experience with Spark, Hive, Kafka, and Map Reduce + Experience building production data pipelines + Experience with different data formats (Parquet, Arvo, Json, XML, etc.) + Experience bringing in data from multiple Data Sources / API's + Building and Debugging Data Pipelines + Distributed systems (pipelines and databases) + Proficient in Python development for data pipelines and automation, including debugging, testing, and handling development. At least 2 years experience preferred. + Experience in Linux environments, batch automation, and shell scripts **Nice To Have:** + Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, Snowflake) + Experience working with IOT data **Required Education/Experience:** + Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. + 3+ years work experience. Learn about the Vivint Culture (*************************************** and why it's a great place to grow your career! Here are some highlighted perks you should ask us about: + Free daily lunch and drinks on site + Paid holidays and flexible paid time away + Employee/Friends/Family Discounts + Onsite health clinic, gym, gaming tables + Medical/dental/vision/life coverage & 24/7 Medical Hotline + 401(k) + Employer Match + Employee Resource Groups WORKING CONDITIONS: _This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines._ SAFETY: _Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employees must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues._ NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at *************************************************************************** Official description on file with Talent.