Data Scientist Jobs in Washington

Artificial General Intelligence (AGI) Data Services is pioneering AI innovation, specializing in developing and refining large language models (LLMs). Our mission is to create sophisticated AI systems that excel in understanding and generating high-quality STEM content. If you're passionate about data quality, have a keen eye for detail, and are excited about the potential of AI in STEM domain, we encourage you to apply for this pivotal role at AGI Data Services. Title: Generative AI Data Quality Scientist l Term: 9 months+ with extension and/or Fulltime Conversion Location: Bellevue, Washington 98004 - 5 days onsite Job Description: As a Data Quality Scientist in domain STEM, you will play a crucial role in evaluation and enhancement of our AI models' STEM reasoning, ensuring precision and reliability in AI-generated STEM content. This role requires a unique blend of technical expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world applications. Your work will directly influence the development of next-generation AI STEM assistants. Key Responsibilities: • Evaluate and analyze quality of STEM content across various sub-domains (mathematics, biology, physics, chemistry, etc.) • Benchmark model performance based on human ground truth • Partner with AI researchers to identify optimization opportunities and enhance model accuracy • Conduct in-depth analysis of human audit data to identify patterns and areas for improvement Required Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, STEM, Mathematics, or related field • 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) experience • 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • Strong programming skills in Python, with experience in data analysis libraries (NumPy, Pandas, SciPy) • Proven experience in statistical analysis • Strong analytical and problem-solving skills Preferred Qualifications: • Experience with AI/ML systems evaluation, particularly in STEM applications • 2+ years of data scientist experience • 2+ years of experience in machine learning model development and implementation • Understanding of machine learning concepts, particularly as they apply to natural language processing and image processing • Deep understanding one of STEM domains and has background in STEM domain • Experience with deep learning framework (PyTorch) • Experience with version control systems (e.g., Git) and data visualization tools

Full-time or W2 hourly, directly with Tavant ONLY Should be in Seattle or be willing to relocate. The interview will involve Hackerrank coding ● 12+ years of relevant data engineering experience. ● Deep coding knowledge of the Python/Snowflake/Databricks (all 3 are mandatory) ● Deep coding knowledge of databases (SQL and no-SQL) ● Experience in building large datasets and scalable batch pipelines. ● Experience with large-scale distributed data processing systems, their benefits and limitations. Preferred Qualifications ● Experience with Airflow, or any other data pipeline orchestration tools. ● Experience designing and implementing cross-cloud data pipelines in AWS, Snowflake, Databricks delta lake files, etc. Required Education ● Bachelor's degree in Computer Science, Software Engineering, or a related field.

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life: We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Lead AWS Data Engineer Responsibilities Develop, optimize, and maintain ETL pipelines using Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Minimum Qualifications: Bachelor's degree in Computer Science, Data Engineering, or a related field. 7+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: 100% Onsite in Seattle, WA Salary Range: The salary for this position is between $120K/year- $160K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Role: Data Engineer Duration: Long-term project. Key Skills Apache Spark (PySpark or Scala): Writing scalable distributed rule engines. Apache Hive: Querying partitioned datasets, schema handling. Amazon EMR: Cluster management, tuning jobs for large datasets (20+ TB). AWS S3: Data partitioning, object lifecycle, access patterns. Glue Data Catalog: Managing Hive table metadata. Data Quality Frameworks: (Great Expectations, Deequ, or custom rules). CI/CD: Code deployment pipelines (Git, Jenkins, Airflow, etc

****PLEASE NOTE: **** Amtrak OIG is not a Federal agency. Our employment opportunities are not federal jobs. Join with the Inspector General to help make America's railroad operate more efficiently and effectively. Our team provides independent oversight of Amtrak's programs and operations and works diligently to prevent and detect fraud, waste, and abuse by Amtrak employees, contractors, or vendors. This work not only helps to improve the efficiency and effectiveness of Amtrak, but it also informs decision-making by Amtrak's Board of Directors, Amtrak management, and Congress. We employ a diverse team of auditors, special agents, analysts, forensic examiners, lawyers, and support staff to complete our exciting mission. Join us as we continue toward our goal of building a model OIG centered on independence, teamwork, diversity, work-life balance, and oversight that makes a difference! SUMMARY OF DUTIES: The Data Scientist collects, prepares and analyzes data to help the OIG conduct audits and investigations of Amtrak (the company) programs and operations, in accordance with lawful standards. The incumbent will support complex audits and sensitive criminal, civil, and administrative investigations with data analytics strategies that help assess the economy, efficiency, and effectiveness of Amtrak programs and operations and help identify potential fraud, waste, and abuse. Evidence the incumbent develops may also be used by OIG investigators for civil or criminal accountability in conjunction with relevant United States Attorney Offices. The incumbent will work with OIG Data Analysts, Data Engineers, and company resources to access data, learn related business processes, identify relevant internal controls, ensure completeness and accuracy of the data, and generate business insights using advanced data analytics techniques such as machine learning and artificial intelligence. ESSENTIAL FUNCTIONS: Works independently without significant supervisory guidance and takes the lead, as needed, in collecting, preparing, and analyzing data. Takes direction from the Director or Senior Director of Data Analytics to prioritize requests for data analyses and ensures compliance with OIG and company policies, standard operating procedures, and best practices. Learns company systems and related business processes and identifies internal controls relevant to the analytic objective. Becomes a subject matter expert on some business areas such as safety and security, contract management, procurement practices, vendor management, finance, human resources, payroll, public corruption, revenue management, and healthcare. Works with auditors and investigators, learns their objectives, identifies data relevant to their objectives, brainstorms analytic ideas to help auditors and investigators use available data elements from different systems, and consults them on the quality and reliability of the data and effective ways to analyze them for significant insights. Proposes expert data analytic strategies using available tools to identify trends or solve business problems in support of complex audits and investigations in various business areas. Helps identify potential fraud, waste and abuse, and provides input and insight to further investigations. Builds advanced data analytics tests and models to generate meaningful insights and identifies opportunities to innovatively use available data to identify signals and patterns to help auditors and investigators make decisions. Independently checks own work to ensure that the evidence the data analytics generate is free of errors and consistent with established guidelines and processes before providing results to auditors and investigators. Ensures analytic results are reliable, sufficient, and relevant such that they can support audit findings and recommendations or the investigative evidence the OIG presents to the United States Attorney's office. Creates effective data visualizations that provide business insights, illustrate risk areas, and can be periodically updated using automation. Performs quality assurance reviews of others' work and prepares own reports to a high degree of excellence. Develops productive working relationships with internal and external parties. Interfaces with various levels of the organization including Senior Management, maintains communication with system and data owners, and monitors changes to the sources system that impact OIG's access to the data and downstream analyses and reports. Works with Data Engineer and OIG IT Mission Support team to implement best security practices for data governance and monitor compliance with OIG and company policies in securing sensitive and non-sensitive data. Supports Data Engineer in the collection of data from internal and external systems, and ensures that the data are complete, free of corruption and errors, and sufficient and relevant to the data analytic objective. Independently prepares, cleans, normalizes, and validates data for utmost integrity before usage, and assists with ad-hoc data analysis requests, as needed. Independently builds automated data extraction routines for complex and large data sets to optimize data storage and delivery. Helps maintain and optimize data collection and preparation methods to ensure data are available, accurate, and reliable. Collaborates with other Data Analysts, Data Engineers, Auditors, and Criminal Investigators in planning and gathering digital evidence. Keeps management abreast of project progress and any matters that may affect timely completion of engagements. Meets regularly with team to provide work status, discuss progress and obstacles, and recommend solutions to technical issues. Ensures work, information, ideas, and technology flow freely. Helps prepare reports, spreadsheets, and detailed exhibits that can be integrated into reports, briefings, and other related products. Helps develop briefings, messages, reports, testimonies, and fact sheets to ensure data are clear and accurate. Assists the OIG's Office of Counsel in preparing for trials, and testifies at hearings and criminal trials, when necessary. MINIMUM QUALIFICATIONS: Bachelor's Degree in Data Science, Data Analytics, Statistics, Computer Science, Information Systems, or other fields related to data analysis, machine learning, business information management, or forensic accounting. 5+ years of experience performing statistical analysis using data analytics software packages, such as Alteryx, ACL, Python, R, and other visualization software such as Tableau or Microsoft Power BI. 3+ years of experience developing analytical solutions using tools such as AWS Glue, S3, Redshift, Athena, and APIs for data extract, transform, and load (ETL), storage, and data analysis. PREFERRED QUALIFICATIONS: Master's Degree in Data Science, Data Analytics, Statistics, Computer Science, Information Systems, or other fields related to data analysis, machine learning, artificial intelligence, business information management, or forensic accounting. Advanced proficiency performing statistical analysis using data analytics software packages, such as Alteryx, ACL, Python, R, and other visualization software such as Tableau or Microsoft Power BI. Advanced proficiency developing analytical solutions using tools such as AWS Glue, S3, Redshift, Athena, and APIs for data ETL, storage, and data analysis. Strong analytic skills related to working with unstructured datasets. Knowledge of working with JSON format data, including parsing and stringifying. Knowledge of federal criminal and civil law, practice, and procedure. Investigative experience with an emphasis on complex white-collar crimes involving contracts, procurement, vendors, finance, human resources, public corruption, revenue, and health care. Broad knowledge of the laws, practices, and procedures of federal Offices of Inspector General. Experience testifying in criminal, civil, or administrative trials and hearings or presenting complex investigative findings to executive decision-makers. Experience with forensic auditing techniques involving digital media. Familiarity with passenger rail or transportation operations. COMPENSATION: The hiring salary range the Data Scientist is $112,210 to $145,400. This is the starting salary range and does not reflect the full salary range of the position. Pay is based on several factors including but not limited to education, work experience, certifications, internal equity, etc. In addition to your salary, Amtrak OIG offers a benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. Requisition ID: 164625 Location: Washington D.C. Work Arrangement: Onsite Relocation: No Travel: Yes - 10% You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.

We are looking for a mid-to senior-level Data Scientist to enhance one of our most innovative and rapidly growing offices. This office is engaged in data-intensive projects within the national security sector. This role is ideal for a data scientist, AI/ML practitioner, mathematician, or professional passionate about working with data, identifying patterns, and transforming these patterns into actionable intelligence. The ideal candidate will excel in deriving insights from data and collaborating effectively with analysts and engineers to convert these insights into automated workflows. The position involves addressing enterprise-level data engineering challenges in partnership with developers, analysts, and data scientists who possess proven expertise in developing open-source technologies and actionable analytics aimed at facilitating data-driven decisions for our clients. Job Details & Tasks: Manage a team of specialized data scientists and data engineers focused on optimizing the creation, deployment, testing, and iterative development of all bronze, silver, and gold data tables deployed across unclassified and classified CDAO environments following the References. Advana currently uses Python, SQL, and PySpark languages along with standard Python packages in Databricks. Bronze tables are query-able versions of data as they are received including historical copies. Silver tables are refined source data with a schema standardized against guidance from the data source. Gold tables store fit for purpose analytic data transformed, cleansed, and aggregated for the use case or application. Create and maintain templates, guides, and playbooks to inform and enable the DoD to reuse and scale data, analytic, and AI work for decision advantage (A009). Provide engineering support to all customers working to leverage the Advana platform and other CDAO platforms. Build data products and data mesh services. Register, ingest, store, search, and retrieve data products. Develop suites of data quality business logic. Train, test, and deploy production AI/ML models. Job Requirements: Must be within 2 hours of the greater Arlington, VA area, available for hybrid work and occasional onsite visits. 5-10+ years of experience and a Masters Degree (or equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficiency in data visualization tools (Power BI, Tableau) Expertise in data science languages (R, Python) and SQL Strong experience in machine learning, statistical analysis, and predictive analytics Proven ability to manage large data sets and perform Multi-INT analytics Experience with AI tool development and automation Excellent communication skills to present complex findings in a clear and concise manner Preferred Experience: Prior experience in Multi-INT analytics Expertise in designing and deploying machine learning models and predictive analytics systems. Strong knowledge of data mining algorithms and techniques. Must hold a Secret security clearance with TS/SCI clearance preferred. Note: This opportunity is contingent upon the awarding of a bid. We are conducting screenings and interviews to ensure a suitable fit for both candidates and our organization. Successful candidates will receive contingent offers based on mutual agreement, demonstrating our commitment to collaboration upon securing the project. We look forward to the possibility of welcoming you to our team. The tentative start date for this project is December 1, 2024 Project Background: Advana is the Department of Defense (DoD) Chief Digital and Artificial Intelligence Office's (CDAO) enterprise-wide, multi-domain data, analytics, and artificial intelligence (AI) platform that provides all DoD military and civilian decision makers, analysts, and builders with enterprise data, tools, and capabilities-all in a scalable, reliable, and secure environment. Jointly managed by the DoD CDAO Mission Analytics and Enterprise Platforms and Services Directorates, the mission of Advana is to accelerate decision advantage by making data, analytics, and AI widely accessible, understandable, and actionable across DoD. To do this, the Advana platform hosts curated analytics applications in a total of 13 DoD business domains, to include logistics, people and health, intelligence and security, readiness and global force management, etc.; it provides market-leading, self-service tools to perform data exploration, model development, data visualization, and other analysis activities; and it provides both users and builders on-demand data, analytics, and AI capabilities via a DoD-wide platform. We are an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Constellation West will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) About The Organization Constellation West is an award winning company that delivers Information Technology (IT) engineering services and solutions and non-IT subject matter expertise worldwide. Established in 1997, Constellation West is an industry leader, partnering with key organizations. As a prime contractor or preferred subcontractor, we have a continual list of opportunities to fill nationwide with multiple agencies such as the Department of Veteran Affairs, the Department of Defense, civilian agencies, and the national intelligence community. Many positions supporting the U.S. federal government require our employees to be granted security clearances. Constellation West strives to provide fully integrated solutions that cover all aspects of system and network engineering, administration, and management. We believe in attracting the right people ready to take on exciting challenges and be part of a dynamic team. Are you one of them? Do you have the expertise and knowledge to solve complex problems? If yes, join us and be a part of an exhilarating work environment that rewards your hard work and dedication. Don't miss out on this fantastic opportunity to make a difference! Benefits include but are not limited to: Tuition reimbursement Competitive 401(k) plan Competitive Health Benefits 11 Paid Holidays!! Start accruing PTO on Day 1! Veteran Hiring Preference Constellation West is proud to be an EEO/AA employer M/F/D/V

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Syntelligent is seeking a TS/SCI cleared full-time Data Scientist in Washington, DC! As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer. Your analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on. Qualifications : Bachelor's degree or equivalent practical experience. 4 - 6+ years of experience in computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. Strong proficiency in programming languages such as Python. Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications : Familiarity and experience with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Responsibilities : Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools. Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages. Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to customers and stakeholders. Brief customers on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers. Develop machine learning models with attention to model accuracy. Draft technical methodologies and participate in architectural reviews. Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder. Role Requirements : Minimum education requirements: Bachelor's Degree Part time or full time: Full Time Flexibility option: High Co-Location (3-4 days on-site) Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio Online applications, please. When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity employer. It is the policy of Syntelligent to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex (including pregnancy), national origin, age, disability and genetic information, protected veteran status and will not be discriminated against based on disability or any protected characteristic. Syntelligent's policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. If you need assistance or an accommodation in Syntelligent's online application process, please contact our Human Resources Office at ************, Extension #505.

Our Opportunity: Chewy is growing! Are you passionate about harnessing data to drive strategic business decisions? Do you grow with building innovative forecasting models that directly influence a company's bottom line? If so, Chewy is looking for a Data Scientist III with expertise in financial forecasting to join our Merchandising Data Science Team and help shape the future of financial analysis and decision-making within the organization. In this role, you will combine deep understanding of machine learning, advanced data analysis, and statistical testing to predict trends and outcomes. You will work closely with finance, business, and cross functional teams to develop, implement, and refine predictive models that drive strategic decision-making and operational efficiency across the business. Does this sound like you? If so, we would love to hear from you! What you'll do: Design, develop, and implement advanced predictive learning models for financial forecasting, including revenue, expenditure, cash flow, and other key financial metrics. Analyze large financial datasets to identify trends, correlations, and actionable insights that influence financial planning and performance. Research and implement innovative forecasting algorithms to generate accurate financial forecasts and projections. Oversee data collection, cleansing, and validation processes to ensure data integrity and reliability. Work cross-functionally with finance, business, and product teams to understand business requirements and deliver actionable insights that drive financial strategy. Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility. Effectively communicate complex technical concepts and insights to both technical and non-technical partners. What you'll need: Candidate must possess a Graduate Degree (MS/PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Mathematics, or related field. Validated experience in developing advanced machine learning models with a focus on financial forecasting, financial modeling, or similar domains. Strong experience with time series analysis, regression models, and machine learning algorithms for financial predictions. Expertise in programming languages such as Python. Advanced proficiency with SQL Proficiency with version control systems (e.g., Git) and joint coding practices. Good understanding of cloud platforms such as AWS. Strong problem-solving skills and the ability to work independently and in a fast-paced environment. Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical partners. Ability to travel up to 10% of the time The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Base Salary Range$134,500—$215,000 USD Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. If you have a question regarding your application, please contact ************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Job Description You could be a data scientist anywhere. Why us? Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Report directly to our Director of BizOps & Analytics, Qingdi Huang (Ex-Bain) Disrupt a massive market and take us to a $10B business in the next few years Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company, with a focus on optimizing growth channels such as partnerships, marketing, and automation. Reporting directly to the Director BizOps/Analytics, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. How you will make an impact: Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: Bachelor’s degree in a quantitatively or intellectually rigorous discipline 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis High level of comfort with SQL or Python Who you are: You have a framework for problem solving and live by first principles You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Mandatory Skills: 3+ years of experience as Data Scientist Strong experience as Data analyst Good SQL BI domain knowledge Handling big data experience is necessary using Cosmos Strong experience on Microsoft excel based data analysis Should be able to effectively assess the business / operational / sales data, define trends, KPIs, predictions and recommendations Strong experience in using analytics tool Should be able to write complex SQL Queries / Cosmos scripts to pull necessary data Proactive and result oriented Deals well with ambiguity and rapid iteration Experience in Iterative Agile Methodologies (SCRUM) Mandatory Functional Skills: Excellent Verbal and Email Communication Skills Good customer service skills Good Listening and descision making skills Creativity and problem solving skills. Ability to work under pressure and perform multiple tasks Desirable Functional Skills: Ability to coordinate with product team. Total Experience Required :5-7 years and above Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

About Allio Think Macro | Invest Smarter | Be Free Our macro-investing philosophy focuses on the powerful forces that shape markets: economics, policy, and politics. We believe these aren't just trends-they're the drivers of opportunity, risk and long-term growth. We're the only investing app that uses AI to power our portfolios, via our proprietary Altitude AI™ technology. Our goal is to lead fintech into the 21st Century by focusing on dynamic portfolios that embrace tactical execution, leaving the cookie cutter robo-advisors and gamified day-trading apps as a thing of the past. By embracing a top-down macro perspective predicated on monetary and fiscal policy, we help investors identify critical turning points in markets and position their portfolios with precision. From sectors to industries and geographies, we enable you to think bigger and act decisively. As a company, we embrace America-first, libertarian ideals with a mission to expand economic literacy. The world is experiencing a contentious changing global order in the midst of a 4th industrial revolution. High inflation, unrestrained government spending, dollarization and political polarization create difficult headwinds for the US to continue leading the world in innovation. Innovation is directly correlated with productivity, but productivity is a result of education and a market economy driven by incentives. Demands to legislate equality of outcome have replaced the decades long standards of equality of opportunity shrouded in meritocracy. As a result, for the first time in U.S. history, individuals are faced with the likelihood that they will have a lower standard of living than their parents. In order to combat this contagion, it starts with educating professionals on the economic policies that are going to give them and their posterity the best quality of life. The goal is to produce an informed, united electorate capable of setting equitable growth policies predicated on data, not ideological party affiliation, leading to higher productivity and an increased standard of living for American Citizens. Role Overview We are looking for a skilled Data Scientist with a solid foundation in data engineering to develop and implement advanced machine learning models that enhance Allio's products and services. The ideal candidate will have experience in building data pipelines, handling large datasets, and creating scalable machine learning solutions with proficiency in tools like Snowflake. Experience working with financial market data is a must. Data Engineering: Design and develop robust data pipelines and ETL processes to support machine learning models. Ensure data quality and integrity across various data sources. Work with data warehousing solutions, particularly Snowflake, to manage and optimize data storage. Time-Series Data Handling: Collect, preprocess, and analyze financial and economic time-series data. Apply time-series modeling techniques to extract insights and forecast trends. Model Development: Build and deploy machine learning models and algorithms tailored to business needs. Conduct experiments to test hypotheses and validate models. Algorithm Optimization: Optimize machine learning algorithms for performance and scalability. Implement techniques to improve model accuracy and reduce computational costs. Integration and Deployment: Collaborate with software engineers to integrate machine learning models into production systems. Ensure models are robust, scalable, and maintainable in real-world applications. Research and Innovation: Stay current with the latest developments in machine learning and data engineering. Explore new technologies and methodologies to enhance existing solutions. Ideal Candidate Masters degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience as a Machine Learning Engineer or in a similar role. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or scikit-learn. Proficiency in data engineering tools and techniques, including SQL, NoSQL databases, and ETL processes. Experience with data warehousing platforms, particularly Snowflake. Familiarity with big data technologies like Apache Spark or Hadoop. Strong understanding of statistical modeling, data mining, and data visualization techniques. Experience working with financial and/or economic time-series data. Experience with software development tools and version control systems (e.g., Git). Excellent problem-solving skills and attention to detail.

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. As a Staff Data Scientist you will be responsible for advancing our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will design and execute experiments and build necessary tooling. You will keep abreast of the state of the art in LLMs while conducting research of novel techniques to solve issues unique to our application. You will: Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve Follow and contribute to best practices for our research activities including data collection/annotation, literature research, experimentation, and evaluation Create and test novel LLM based systems Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques What We're Looking For: 6 years of experience in Data Science or Machine Learning Engineering Expert level Python: able to write reliable, extensible code Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks Experience using pre-trained LLM's for zero or few-shot learning tasks Scientific mindset and ability to run experiments to guide model selection and hyperparameter search Good written communication skills Experience putting LLM based services into production Experience working with clinical data Our Tech Stack: Primarily Python jobs and applications OpenAI and other Foundation model APIs Pytorch on AzureML for our own training Kubernetes via AKS or EKS for serving compute (with support from infra team) Databricks for data lake Flyte for orchestration Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar) Experience generating visualizations for evaluation of complex systems Pay Range: $159,450 - $223,230 Other compensation: Bonus Eligible Perks & Benefits: 💻 Remote US work 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: ******************************************* We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. MCG Health is a Seattle, Washington-based company. This position can be done from a remote location and will require some in-person travel. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

About The Role Data scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. As a Senior Data Scientist on the Segmentation and Content Understanding team, you will lead technical efforts in developing and deploying advanced NLP and Large Language Model (LLM) solutions to enhance user experience across Disney+, Hulu, and ESPN+. This role requires expertise in deep learning model architectures, fine-tuning, customization of open-source models, and hands-on experience deploying production-grade AI solutions. Key Responsibilities * Develop and deploy advanced NLP and LLM solutions. * Customize and fine-tune foundational models such as BERT, GPT, and CLIP. * Create multimodal AI systems integrating text, image, and video data. * Optimize model performance (accuracy, latency, scalability) leveraging GPU infrastructure and distributed computing. * Deploy models and manage their lifecycle in production environments. * Implement robust CI/CD workflows and job orchestration for ML systems. * Follow software development best practices, including testing, code reviews, and continuous integration. * Champion and implement MLOps practices for seamless deployment and monitoring. Basic Qualifications * Bachelors degree in Computer Science, Engineering, Mathematics, or related field. * 5+ years of hands-on experience developing and deploying machine learning models in production environments. * Strong expertise in Deep Learning, NLP, large language models, embeddings, and related technologies. * Familiarity with transformers, attention mechanisms, multimodal models, and tokenization. * Proficient with Python, at least one of the deep learning frameworks (such as PyTorch or TensorFlow), and deep learning libraries (such as Hugging Face Transformers). * Hands-on experience with fine-tuning techniques and model optimization. * Solid understanding of hardware optimization, GPU usage, and performance trade-offs. * Proficiency in CI/CD processes, job orchestration tools, Docker, containerization, and MLOps workflows. * Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders. * Comfort working in fast-paced environments, adapting proactively to changing priorities. Preferred Qualifications * Master's degree in Computer Science, Engineering, Mathematics, or related field. * Experience using vector databases and retrieval systems. * Familiarity with GPU profiling and memory optimization for large models. * Familiarity with NLP techniques such as RLHF, parameter-efficient tuning, and retrieval-augmented generation (RAG). Additional Information #DISNEYTECH The hiring range for this position in New York, NY and Seattle, WA is $145,400 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. F5, Inc. seeks Data Scientist II in Seattle, WA: Job Duties: Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers' applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements, designing data analysis workflow, and conceptualizing the business requirements to mathematical and statistical questions. Extract, transform, and load large amounts of network data using database management tools; use advanced SQL queries to manipulate data from various databases such as Google Cloud Platform and generate consolidated data sources for further analysis. Using Python to clean and process the network data, engineer transaction features, and extract key information from unstructured data; identify false positives and missed automated traffic; recognize the automation trends using entropy analysis, time series analysis, probability distribution and P-value calculation. Conducting root cause analysis on unusual traffic data patterns and security incidents; identify individual web automation campaigns using manual heuristics and use of scripts to discover clusters of low-randomness data and exploring similarities among distinct automation groups using hypothesis testing. Using sampling methods to split data into training and testing datasets; fit the machine learning models to make predictions, validating the model results and tune parameters and evaluating the performance of machine learning models and compute the requisite evaluation metrics. Visualizing network data using Kibana, Python, and custom tooling to identify anomalies; explore patterns and seasonality of the automated transactions and developing customized graphs and visual dashboards to address client requests and share insights with clients. Translating and interpreting analytical findings into compelling business insights, compiling professional slides by using Google Slides or Powerpoint and present statistical results and recommendations to senior executives with evidence-based reasoning and accessible storytelling. Compiling case studies on attack techniques and fraud schemes to be used by marketing and sales representatives, as well as for reference use in customer briefings and internal trainings. Presenting reports to senior executives at F5's customers and gathering client feedback to improve and advance team reporting processes and standards. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S. Minimum Requirements: Bachelor's degree, or foreign equivalent, in Computer Science, Mathematics, Statistics, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in job offered or in any occupation in a related field. Special Skill Requirements: (1) Python, (2) R, (3) Statistical Modeling, (4) Linear/Logistic Regression, (5) HTML, (6) JavaScript, (7) Structured Query Language (SQL), (8) Machine Learning, (9) Data Mining and Visualization, (10) Tableau, PowerBI, or Kibana, (11) Preparation and delivery of technical presentations leveraging advanced data analytics for executive level audiences. Any suitable combination of education, training and experience is acceptable. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S. Salary: $140,551.24 - $191,550.00 per annum. Benefits: F5 offers competitive pay, 401k, and other benefits: ******************************************** Submit a resume with references using the apply button on this posting or by email at: **************** at Req.# 23-136891. #LI-DNI #LI-DNI You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: ******************************************** F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com). Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity As a Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do * Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights. Identify biases in data collection and observation. * Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques. * Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources. * Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience. What you need to succeed * Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study, or relevant experience. Alternatively, a Bachelor's degree with relevant practical experience. * Minimum 2 years of experience as a Data Scientist or in a similar role. * Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved. * Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop. * Expert in at least one programming or data manipulation language, preferably Python and SQL. * Data storytelling skills. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

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

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Data Scientist What we do Within WBD Streaming, the Customer Health and Value ML team uses causal machine learning to discover and understand the behavioral dynamics that drive long-term value among our streaming customers. We enable the business to make better, faster decisions that optimize for long-term customer value by boosting engagement in the right ways and finding the best strategies to grow our active subscriber base. We're looking for a Sr. Data Scientist with a passion for driving business impact via causal modeling in the complex problem space of customer engagement and retention. What You Will Do Research, design, and build high-impact end-to-end machine learning systems for customer growth Lead the design of scalable ML solutions in production Promote and role-model best practices of data science, engineering, and communication throughout the organization Evangelize ML adoption and innovation across the product and engineering teams Foster a diverse community of data scientists and ML engineers Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions What You Will Need M.S or B.S. in Statistics, Data Science, Economics or related field 5+ years of building products with Machine Learning and Personalization Strong proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc. Knowledge and experience in applying ML to Causal Inference (Double ML, Meta-learners, Synthetic Controls, etc.) Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages Demonstrated ability to lead technical decisions Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to data scientists, engineers, and product manager audiences Passion for data-driven research, development, and experimentation Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ******************************* along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $119,700.00 - $222,300.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life: We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Lead AWS Data Engineer Responsibilities Develop, optimize, and maintain ETL pipelines using Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Minimum Qualifications: Bachelor’s degree in Computer Science, Data Engineering, or a related field. 7+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: 100% Onsite in Seattle, WA Salary Range: The salary for this position is between $120K/year- $160K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Full Time with People Tech Group Role: Data Engineer Responsibilities Qualifications: Cloud Computing Experience, Azure or AWS preferred Data Warehousing Experience, Snowflake preferred Python Programming Experience, 5+ years preferred Independent Worker who can critique and contribute to architectural design proposals