Data Scientist Jobs in Tennessee

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

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_

Sciera Inc. is an Atlanta based Data & Technology company with 12 years' experience of driving business results of Fortune 500 companies with unparalleled computing power and advanced data science capabilities. Sciera is focused on how we deal with petabyte-scale data and our applications' ability to respond to consumers in milliseconds. As a result, our technologies and solutions assist businesses in turning Big Data into actionable insights - and insights into business success. At Sciera, our employees and their families are important to us. We seek individuals who are self-motivated, dependable, and who are equally productive while working alone or in a group. We expect candidates to contribute to the culture, diversity, and autonomy in which we thrive. So, if you love challenges, a fast paced environment and being on the cutting edge of technology - this could very well be the opportunity for you. Job Location: Chennai Job Description 1-3 years of experience We are looking for a Data Scientist to analyze large amounts of raw data to find patterns that will help improve our client's business processes. We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a flair for analysis, math/statistics and AIML.Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our clients analyze trends to make better decisions and develop new data products to serve our clients better. Roles and responsibilities : Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Data management for analytics Experience in data mining and text mining Understanding of machine-learning and operations research Analytical mind and business acumen Strong math skills (specifically applied statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Knowledge of Tools: Knowledge of R, SQL and Python Experience with at least two of the major frameworks - Tensorflow, PyTorch, MXNet, Sagemaker, H2O, SparkML Familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Should have completed models in customer life cycle and/or NLP Educational Qualifications:

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.

Are you interested in joining a purpose-driven company in the music industry? Do you thrive in a collaborative, hybrid work environment? If you do, we would like to get to know you. WORKING AT THE MLC The MLC is committed to excellence, service and transparency. Our culture is collaborative, and our team works in a hybrid environment. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges. THE ROLE As a Data Scientist, you will design and implement machine learning models and statistical methodologies to solve the challenge of matching digital usage reports from DSPs (Digital Service Providers) to our repertoire metadata. You will work on integrating and analyzing outputs from multiple sources - including recording-to-work matches, recording clustering, content type classification, and matching suggestions - to produce high-confidence matching decisions. The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members. QUALIFICATIONS Minimum five (5) years' experience in a Data Scientist or Machine Learning Engineer role. Strong expertise in statistical modeling, data manipulation, and machine learning, including model development, evaluation, and deployment. Experience working with large and varied datasets from multiple external sources. Proficiency in Python and data science libraries (Pandas, scikit-learn, TensorFlow, PyTorch). Solid understanding of data engineering principles and ability to collaborate closely with data platform engineers. Experience working with AWS. Experience with Dagster is a plus. Excellent collaboration and communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences. ESSENTIAL RESPONSIBILITIES AS A TEAM MANAGER YOU WILL: Design, build, and evaluate machine learning models for metadata matching and decisioning. Develop methodologies to integrate outputs from multiple external vendor systems into unified, high-confidence match decisions. Create and maintain datasets and features required for modeling, ensuring high data quality and consistency. Analyze model performance, recommend improvements, and iterate based on real-world feedback. Write clear and reproducible code, including unit tests and documentation. Work closely with data platform engineers to ensure models are deployed reliably within the Matching Platform. Contribute to the evolution of the Matching Platform's technical strategy and roadmap. AS A TECHNICAL LEAD YOU WILL Work in an Agile environment and participate actively in team ceremonies and collaborative planning. Foster constructive dialogue and seek resolution when confronted with technical challenges. Uphold high standards of software and model development best practices. Embrace a data-driven, collaborative, and continuous improvement mindset. YOU WILL CHAMPION THE MLC'S CULTURE BY: Applying The MLC's Guiding Principles to your work and your behaviors Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas Engaging in a diverse and dynamic team; continuing with personal development Inspiring others with your enthusiasm and humility YOU WILL CHAMPION THE MLC'S CULTURE BY: Embracing The MLC's leadership values and applying The MLC's Guiding Principles to your team's work Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas Building a dynamic team; mentoring team members; developing future leaders Inspiring others with your enthusiasm and humility THE MLC IS AN EQUAL OPPORTUNITY EMPLOYER THE MLC DOES NOT MAKE EMPLOYMENT DECISIONS BASED ON RACE, COLOR, RELIGION OR RELIGIOUS BELIEF, ETHNIC OR NATIONAL ORIGIN, SEX, GENDER, GENDER-IDENTITY, SEXUAL ORIENTATION, MARITAL STATUS, CITIZENSHIP STATUS, DISABILITY, AGE, MILITARY OR VETERAN STATUS, OR ANY OTHER CATEGORY PROTECTED BY LOCAL, STATE, OR FEDERAL LAW. THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, TRANSFER, LEAVES OF ABSENCE, AND COMPENSATION.

Asurion is seeking a Principal Data Scientist to join our Data Science team. An individual in this role will be designing, developing, implementing, and fine-tuning Large Language Models to build one-of-a-kind autonomous sales agents in the context of tech support. The candidate will work on the cutting-edge of LLMs as we aim to leverage them for sales where the tasks are better defined and narrow, but margin of error is very low. Leveraging AI to be offer a highly targeted and personalized sales experience while setting state-of-the-art standards for compliance and hallucinations. They should be well versed on modern massive neural language model architectures, including BERT-like and GPT/autoregressive-like LLM's, neural language generation, AI agents, few-shot multitask learning etc. The candidate should also know the limitations of LLMs and how to design solutions and services keeping those in mind. Gather and analyze large volumes of unstructured, text data, evaluates scenarios to make predictions on future outcomes and supports decision making. An ideal candidate would have excellent communication (written and oral) and presentation skills, including creating and sharing complex ideas to peers, cross-functional partners and stakeholders. The candidate will also offer technical mentorship and guidance to junior data scientists. Role and Responsibilities: * Utilize Natural Language Processing to analyze speech and text data, build chatbot and expert systems * Implement existing Large Language Models such as GPT, LLaMA, etc * Refine Large Language Models via prompt engineering, Agentic frameworks, fine-tuning, reinforcement learning, or transfer learning * Lead and mentor a team of scientists, driving high-impact technical initiatives with broad scope and visibility * Discover and formulate business problems and create data science solutions * Develop prototypes for new data product ideas * Design and deploy complex, optimized and large-scale machine learning algorithms and generative models to improve Asurion's wireless, connected home, and appliance customers' experiences * Analyze and interpret the results of product experiments * Work closely with product managers to identify and answer important product questions that help improve outcomes * Communicate findings to product managers and development groups * Drive the collection of new data and the refinement of existing data * Regularly invents new and novel approaches to problems; takes initiative and breaks down barriers to solve problems; recognized within team as the source of solutions Qualifications: * Master's or PhD preferably in Machine Learning role with at least 4+ years hands-on ML experience * 2+ years of experience leading a team of scientists or engineers, with a strong track record of recruiting and/or mentoring junior team members * Specialized practical experience in Generative AI * Expert in Natural Language Processing tasks * Applied experience in deploying NLP based solutions, including Gen AI, at scale in a cloud environment like AWS, GCP or Azure. * Prior experience in applying machine learning for customer experience use cases * Comfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources * Comfortable in using advanced statistical data modeling techniques and tools * Experience using Python and working with large scale systems * Knowledge of data processing on Hadoop programming environments (e.g. Spark/Hive) * Familiar with optimization techniques and underlying machine learning algorithms concepts * Solid statistical knowledge; familiarity with hypothesis testing, experimental design and time series * Familiarity with Linux/Unix/Shell environments * Self-driven and able to ask and tackle the most important analytical questions with a view on driving product impact * A strong passion for empirical research and for answering hard questions with data * Result-driven and focused self-starters, great communicators that follow through on every initiative * Love the responsibility of being individually empowered * Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

**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 As a Data Scientist you will be responsible for designing, implementing, and optimizing advanced data science models to solve business problems. You will collaborate with cross-functional teams to develop data-driven solutions that enhance our products and services. Functions • Processing, cleansing, and validating the integrity of data to be used for analysis • Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. • Performs data analysis, interprets the findings from it and explains the finding to stake holders. • Propose solutions and strategies to tackle business challenges. • Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. • Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. • Lead testing processes to assess and continuously enhance AI performance. • Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance. • Designs and maintains scalable data pipelines. • Stay updated on industry trends and best practices in data science and customer analytics. • Collaborate with cross-functional teams including data engineering, marketing, sales, and product development. Qualifications • A Bachelor’s or Master’s degree in mathematics, computer science, engineering, statistics, or related quantitative field required. • 3-5 years of experience within data science, advanced analytics and statistical analysis. • Strong programming skills in Python, with expertise in SQL. • Strong understanding of machine learning algorithms and statistical modeling techniques. • Experience deploying machine learning models in production environments. • Ability to visualize data in the most effective way possible for a given project or study • Expertise in building Generative AI applications. • Proven track record of delivering data science solutions that drive business impact. • Experience with cloud services such as AWS and utilizing containerized solutions for deploying scalable machine learning solutions. • Experience with frameworks like Dash to build scalable web applications. • Ability to work independently and with team members from different backgrounds. • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders. Competencies • Business Acumen – Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization. • Communicate for Impact – Devoting the time and resources necessary to communicate the strategic vision, direction, priorities, and progress of the team for which you are responsible. • Leading People – Ability to develop and implement strategies to maximize employee performance and foster employee engagement in meeting the organization's strategy. • Managing Transitions/Change Management – Effectively plans, manages and communicates changes in processes with appropriate stakeholders. • Relationship Management – Building and maintaining relationships with internal partners to successfully complete projects and organizational objectives. • Strategic Agility - Gains perspective and balances the pressure between daily tasks and strategic actions that impact the long-term viability of the organization. Travel Requirements • This position is expected to travel approximately 25% or less. • A passport is not required, but recommended. For California residents – please enter or copy/paste the address below into your address bar to review an important notice regarding Kenco’s privacy policy. **********************************************************************************

Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist. Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided. The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing: Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results. Develop the framework and approach for marketing science and develop bespoke offerings. Employ best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices. Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models. Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation. What you bring: M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research (Optional) Experience in marketing science or advertising analytics Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models Strong competency with python, R, SQL, and other commonly used statistical tools Client services mindset Ability to influence clients and partner agencies to act on insights Ability to distill complicated information into succinct graphical presentations for senior stakeholders. Why Join Tombras Analytics? Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth. Why you'll want to work at Tombras: You'll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year. Tombras Benefits: Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly offices Unlimited PTOGenerous parental leave for primary and non-primary caregivers. Medical (PPO or High Deductible option) for employee + dependents 401(k) ParticipationEmployer-paid Dental & Vision A company culture of promotions from within and an atmosphere allowing for varied and rapid career development. New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values. Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce. Tombras is an E-Verify employer and participates in the E-Verify program. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.

**_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 (***************************************************************************************************************************

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities Student loan repayment options Tuition reimbursement Flexible work environments *All the benefits listed above are subject to the terms of their individual Plans . And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: Unum Group seeks Senior Data Scientists in Chattanooga, TN. Applicants who are interested in this position may apply at *********************** (Ref #56711) for consideration. Programming & Process Automation: Use Python and R to build analytical solutions that deliver insights, leveraging Azure DevOps for CI/CD and version control, and deploying models through AWS SageMaker, Posit Workbench, and Posit Connect. Apply Language Models and automation to optimize workflows in business settings. Data Visualization: Transform complex data into impactful visuals using tools like Seaborn, Matplotlib, Plotly, ggplot2, and Lattice. Create visuals that drive business decisions, with a proven record in both static and dynamic representation techniques. Data Validation: Ensure data accuracy through SQL and data frames in Python and R. Develop robust validation, aggregation, and reconciliation processes to maintain data quality for complex business needs. Statistics & Statistical Modeling: Build statistical models, including time series forecasting, GLMs, Bayesian methods, and deep learning. Apply feature extraction and dimensionality reduction for enhanced model performance in business problem-solving. Data Extraction, Transformation, and Loading (ETL): Integrate data from diverse sources like Snowflake, AWS, DB2, SQL Server, APIs, and Teradata. Proficiently write complex SQL queries to join disparate datasets, creating models that support both ad-hoc analysis and larger studies. Time Series Forecasting and Advanced Analytics: Conduct forecasting for industry applications (e.g., claims prediction, loss forecasting, trend analysis), using deep learning and dimensionality reduction to improve model accuracy for strategic decision-making. Core Business Capabilities: Clearly communicate analytical insights to influence executive decisions, utilizing tools such as MS Office, RMarkdown, and Quarto. Proven track record in translating data science into business value, particularly in the insurance industry. Leadership Capabilities: Mentor junior team members, fostering innovation and thought leadership. Lead projects within data science, particularly in insurance or similar industries, and drive process improvements in collaborative environments. Requires a Bachelor's degree in Information Technology/Systems, Statistics, Mathematics, Business Economics, Engineering, or a related field plus 4 years of related experience. Requires 4 years of experience with the following: Utilizing SQL and data frames (Python and R) to apply data validation, aggregation, and reconciliation techniques to ensure accurate, modeling-ready data for business use cases; Providing creative solutions for ensuring data integrity and quality in complex business datasets; Thinking critically and developing models that solve complex business problems; SQL query writing and complex joins; Developing efficient and thoughtful data extraction processes that align with business goals; Interpreting the results of analytics and presenting findings in formats that drive business stakeholder decisions; Translating data science outcomes to direct business value, utilizing tools like MS Office (PowerPoint, Word) and RMarkdown/Quarto; Presenting innovative and thoughtful insights that lead to actionable business outcomes. Requires 3 years of experience with the following: Using both Python and R to design and execute analytical solutions, including optimization, simulation, Machine Learning, and other statistical methods with a focus on delivering actionable value; Using AWS SageMaker, Posit Workbench and Posit Connect, Quarto, and Language Models while deploying these in business-related contexts; Using Azure DevOps for version control, CI/CD pipelines, and project management in business environments; Transforming complex data sets and quantitative/qualitative analyses into compelling visuals using tools such as Seaborn, Matplotlib, Plotly, ggplot2, and Lattice to drive insights that influence business decisions; Creating innovative visual representations that effectively communicate key findings to stakeholders; Developing advanced statistical models tailored to industry needs, including but not limited to time series forecasting, univariate/multivariate analysis, generalized linear models, and Bayesian approaches; Dimension reduction and deep learning techniques; Integrating large volumes of data from multiple disparate sources (including Snowflake, AWS, DB2, SQL Server, APIs, and Teradata) to create robust data assets for ad-hoc analyses and larger studies; Time series forecasting for industry applications, including claims prediction, loss forecasting, and trend analysis; Deep learning models and dimension reduction techniques to enhance forecasting accuracy; Developing forecasting models that help drive business decisions. Requires 2 years of experience with the following: Providing collaborative support, training, and mentorship to junior Data Science peers; Fostering innovation and thought leadership within a data science team; Data Science. Telecommuting permitted. 40 hours/week; $115,000 - $135,000 per year. This wage range supersedes the base salary range listed below, due to the salary range below reflecting a national range. #LI-TS1 #LI-HYBRID ~IN1 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $89,400.00-$183,500.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

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_

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, 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 product 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, Product Analytics 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. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/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.

Job Description Are you interested in joining a purpose-driven company in the music industry? Do you thrive in a collaborative, hybrid work environment? If you do, we would like to get to know you. WORKING AT THE MLC The MLC is committed to excellence, service and transparency. Our culture is collaborative, and our team works in a hybrid environment. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges. THE ROLE As a Data Scientist, you will design and implement machine learning models and statistical methodologies to solve the challenge of matching digital usage reports from DSPs (Digital Service Providers) to our repertoire metadata. You will work on integrating and analyzing outputs from multiple sources — including recording-to-work matches, recording clustering, content type classification, and matching suggestions — to produce high-confidence matching decisions. The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members. QUALIFICATIONS Minimum five (5) years' experience in a Data Scientist or Machine Learning Engineer role. Strong expertise in statistical modeling, data manipulation, and machine learning, including model development, evaluation, and deployment. Experience working with large and varied datasets from multiple external sources. Proficiency in Python and data science libraries (Pandas, scikit-learn, TensorFlow, PyTorch). Solid understanding of data engineering principles and ability to collaborate closely with data platform engineers. Experience working with AWS. Experience with Dagster is a plus. Excellent collaboration and communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences. ESSENTIAL RESPONSIBILITIES AS A TEAM MANAGER YOU WILL: Design, build, and evaluate machine learning models for metadata matching and decisioning. Develop methodologies to integrate outputs from multiple external vendor systems into unified, high-confidence match decisions. Create and maintain datasets and features required for modeling, ensuring high data quality and consistency. Analyze model performance, recommend improvements, and iterate based on real-world feedback. Write clear and reproducible code, including unit tests and documentation. Work closely with data platform engineers to ensure models are deployed reliably within the Matching Platform. Contribute to the evolution of the Matching Platform's technical strategy and roadmap. AS A TECHNICAL LEAD YOU WILL Work in an Agile environment and participate actively in team ceremonies and collaborative planning. Foster constructive dialogue and seek resolution when confronted with technical challenges. Uphold high standards of software and model development best practices. Embrace a data-driven, collaborative, and continuous improvement mindset. YOU WILL CHAMPION THE MLC'S CULTURE BY: Applying The MLC's Guiding Principles to your work and your behaviors Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas Engaging in a diverse and dynamic team; continuing with personal development Inspiring others with your enthusiasm and humility YOU WILL CHAMPION THE MLC'S CULTURE BY: Embracing The MLC's leadership values and applying The MLC's Guiding Principles to your team's work Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas Building a dynamic team; mentoring team members; developing future leaders Inspiring others with your enthusiasm and humility THE MLC IS AN EQUAL OPPORTUNITY EMPLOYER THE MLC DOES NOT MAKE EMPLOYMENT DECISIONS BASED ON RACE, COLOR, RELIGION OR RELIGIOUS BELIEF, ETHNIC OR NATIONAL ORIGIN, SEX, GENDER, GENDER-IDENTITY, SEXUAL ORIENTATION, MARITAL STATUS, CITIZENSHIP STATUS, DISABILITY, AGE, MILITARY OR VETERAN STATUS, OR ANY OTHER CATEGORY PROTECTED BY LOCAL, STATE, OR FEDERAL LAW. THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, TRANSFER, LEAVES OF ABSENCE, AND COMPENSATION.

Why Asurion At Asurion, we provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. We deliver easy, instant access to a community of tech experts, to solve any technology issue you could ever have with almost any device you'll ever own. Our Data Science & AI team is heavily focused on empowering our agents in providing best in class service but also building generative AI solutions to increase our reach and cover many more channels. About the team: Our Data Science & AI team sits at the heart of innovation, driving impactful solutions across customer experience, operational efficiency, and business growth. We are a diverse group of data scientists, machine learning engineers, and technical leaders working on high-impact projects, including Generative AI, predictive modeling, conversational AI, and multimodal data applications. We collaborate closely with Product, Engineering, Analytics, and Business stakeholders to solve complex problems using advanced machine learning and statistical modeling. Our team values curiosity, ownership, and a strong bias for action. We foster a supportive environment where team members grow through mentorship, innovation, and a culture of continuous learning. What you'll be doing: * Use business acumen and analytical skills to identify opportunities, estimate potential, layout strategy roadmaps to solve complex business problems * Be responsible for using analytic techniques like Machine learning, Natural Language Processing and advanced data visualizations to improve Asurion's customers' experiences * Experiment with latest generative LLMs to build next generative applications and boost existing ones * Design and iterate on GenAI prompts based on performance metrics and user feedback to ensure high-quality outputs and enhance overall system performance * Leverage deep understanding of modern machine learning techniques and their mathematical underpinning to regularly invent new and novel approaches to solve problems * Deliver end-to-end reliable and scalable AI features in production * Provide Data Science updates to senior executive audience * Work with stakeholders to identify new Machine Learning/AI opportunities * Define platform and operation improvement opportunities, formulate data science problems * Develop prototypes for new data product ideas and build data pipelines/flask apps for deployment * Drive a Minimum Viable Product (MVP) test-and-learn approach and push to learn fast. Work in an iterative manner from framing problems, to building prototypes, to deploying end-to-end and reliable production-grade solutions * Help defining and monitoring the right Key Performance Indicators (KPIs) to track and deliver on critical objectives and key results What you'll bring to the team: * Your technical excellence in field of ML & AI, specifically in latest Large Language Models * Your drive to keep up with the ever-changing AI landscape and release of new LLMs * The ability to root cause, define, and solve complex problems in ambiguous situations. Innate curiosity and product mindset helping you articulate new ideas as well as novel technical approaches * Self-driven and able to ask and tackle the most important analytical questions with a view on driving product impact * Ability to work and collaborate with different functions of the organization, from operations teammates to product managers and engineers * Excellent communication (written and oral) and presentation skills, including creating and sharing complex ideas to peers. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner * You're a result-driven thinker and doer. You offer out-of-the-box ideas and aren't afraid to roll up your sleeves to get the job done * Respect for all people, an open mind, and an open heart. We pride ourselves on building inclusive environments. After all, it's the diversity of thought that builds great products! Experience and education: * Requires a Master's degree in analytics, computer science, electrical engineering, computer engineering, or related advanced analytical & optimization fields * Solid Knowledge in Deep Learning and/or Machine Learning gained through academic coursework or any amount of internship/work experience. * Solid experience implementing and fine-tuning Generative AI large foundation models (LLMs), with a strong understanding of NLP techniques and frameworks such as embeddings, GPT, or Transformer models * Knowledge of cloud computing and AI deployment (AWS, Google Cloud) * Knowledge in Statistics, optimization theoretical concepts and/or optimization problem formulation gained through academic coursework or any amount of internship/work experience * Solid knowledge in Python programming gained through academic coursework or any amount of internship/work experience.

**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

Job Description 8+ years of experience We are looking for a Data Scientist lead to analyze large amounts of raw data to find patterns that will help improve our client's business processes. We will rely on you to build data products to extract valuable business insights.In this role, you should be highly analytical with a flair for analysis, math/statistics and AIML.Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our clients analyze trends to make better decisions and develop new data products to serve our clients better. Roles and responsibilities : Understand the business landscape and convert the business requirements to analytical deliverables Interface with business and technical teams to make the analytics/data science process smoother and effective Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Science lead Experience in multiple domains - marketing, customer, social intelligence Led a team of data scientists in projects in multiple domains Experience in Data management for analytics Experience in data mining and text mining Understanding of machine-learning and operations research Analytical mind and business acumen Strong math skills (specifically applied statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Knowledge of tools Knowledge of R, SQL and Python Experience with at least two of the major frameworks - Tensorflow, PyTorch, MXNet,

**_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 (***************************************************************************************************************************