Data Scientist jobs at Robert Half - 4036 jobs

A leading sports and entertainment company is hiring a Junior Data Scientist in San Francisco to support data analysis at Oracle Park. The role involves analyzing consumer behavior, evaluating operations, and collaborating with teams. Candidates should have a Bachelor's in a relevant field and experience in data manipulation using Python or R. Benefits include comprehensive medical coverage and a salary range of $70,000 to $95,000. #J-18808-Ljbffr

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data. Skills and attributes for success Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files). Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). Build data access layers optimized for ML (feature stores, event streams, vector stores). Define and enforce standards for data provenance, quality checks, logging, and version control. Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.). To qualify for the role you must have A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards). Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. Basic understanding of ML/feature pipelines and downstream modeling needs. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem‑solving, and growth‑oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose‑driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. Position Summary Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is an exciting opportunity to join a high‑performing, collaborative team as a Data Scientist. The role focuses on leveraging the Stars Data Ecosystem for Business Analytics, improving understanding of business patterns, predicting future trends, and implementing effective solutions to various challenges. Key Responsibilities Design and implement unified data pipelines in Snowflake that combine structured tables, semi‑structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). Build agentic document analytics workflows: large‑scale document ingestion, text extraction, cleaning, chunking, embeddings, vector store creation, and efficient retrieval for analytic queries. Implement Natural Language Query interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. Integrate Snowflake with LLMs (OpenAI or equivalent) for summarization, question‑answering, classification, and code‑generation using External Functions, Snowpark, and secure API patterns. Create performant retrieval‑augmented generation (RAG) architectures that leverage Snowflake‑stored embeddings and external or internal vector indexes. Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near‑real‑time and batch analytical workloads. Implement data modeling and governance patterns within Snowflake - schemas, role‑based access control, masking, lineage, and metadata for analytics and compliance. Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production‑ready solutions. Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non‑technical stakeholders. Required Qualifications - Technical Skills Statistical Analysis - proficiency in R, SAS, and Python. Data Visualization - compelling visualizations using Tableau, Power BI, and D3.js. Database Management - knowledge of SQL and NoSQL databases. Programming - strong skills in Python, Java, and C++. Expertise in unified data pipelines, agentic document analytics, NLQ interfaces, Snowflake‑LLM integration, RAG architectures, Snowpark transformations, data governance, production‑ready solutions, monitoring, observability, cost controls, and documentation. Analytical Skills Critical Thinking - approach problems from multiple perspectives. Quantitative Analysis - interpret and manipulate data effectively. Attention to Detail - ensure accuracy in data analysis and model development. Interpersonal Skills Communication - excellent verbal and written communication. Team Collaboration - work collaboratively with diverse teams. Leadership - lead projects and mentor junior team members. Preferred Qualifications Relevant experience in data analysis, machine learning, and business intelligence. Professional certifications in data science, machine learning, or business analytics are beneficial. Education A bachelor's degree in Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) are highly desirable. Anticipated Weekly Hours - 40 Time Type - Full time Pay Range - $64,890.00 - $222,480.00 Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No‑cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. Application window for this opening will close on: 01/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails being responsible for developing and delivering advanced data sciences solutions, applied AI innovations, and providing technical contributions to various projects. Provides expert technical guidance and integrates with a team of data scientists, applied AI scientists, engineers, and analysts responsible for multiple technologies. Instills team-oriented, client-driven, and results-driven values. Mentor and develop subject matter experts and technologists. What You'll Do: Leads service improvement initiatives and activities to increase customer satisfaction. This includes developing strategic plans, influencing virtual teams to drive execution of initiatives. Works with IT solutions, architecture, utility, and cloud services Acts as technical lead for enterprise data management platform implementation for CRM redesign. Manages and creating user accounts, directory access, and server permissions. Manages the in-house services related to the internet. Trains and educates customers on how to use certain software and hardware as requested. Performs development and architecture for software, database, third-party integration, internationalization and infrastructure. Sponsors roadmap, physical of failures correlation between system hardware, firmware and software, network topology infrastructure, reliability simulation at system and network level Contributes in the development of marketing and collateral material relating to technology services or products. Leads business development and planning efforts, including calculation of cost, risk, and scope, and support local offices in preparation of responses to RFPs, RFIs and RFQs by providing expertise on specialized technologies and/or practices. Provides single point of contact for technology projects and products and/or leads specific technical or functional portions of a project. Determines scope of work and objectives; estimate project costs and prepare proposals and contracts. Actively manages project budget, schedule, communications and documentation. Coordinates work efforts; reviews work performed, and communicates regularly with department leadership on project progress. Applies expert business skills and consulting methodologies to collect and analyze data to determine the applicability, functionality, and viability of new technologies. Advocates for internal and external clients by establishing user groups and acting as a liaison between users and the technology office. Supports the identification of internal resources and external contractors to meet project requirements. Researches new and emerging technologies and assess feasibility applications to current and future business needs. Analyzes business unit activities and trends and compares analyses against service standards and best practices. Presents findings to business unit leadership and identifies and implements strategies that will address tactical and strategic goals. Works with clients and technology office staff to identify, analyze, design, develop and implement fully integrated solutions of moderate to high complexity that support HNTB's products, service and/or business processes. Develops detailed documentation of business systems and user needs, including workflow, program functions, and steps required to develop or modify compute programs or systems. Reviews use cases and other technical documents with technology office project staff to ensure business requirements are adequately reflected in technical planning. Defines, develops and implements quality assurance practices and end user test plans. Ensure process, conducted and documentation accurately reflects the current status of changes and outstanding issues so that business requirements reflect application features and functions. Identifies training and development. requirements of user groups and provide support when required by designing and developing training initiatives. Performs other duties as assigned. What You'll Need: Bachelor's degree in Computer Science, Engineering, or related field and 13 years of relevant experience, or Master's degree in Computer Science, Engineering, or related field and 12 years of relevant experience, or In lieu of education, 17 years of relevant experience. What You'll Bring: Excellent communication, collaboration, and problem-solving skills Business skills, organizational skills, and analytical skills Expertise in Business Intelligence tools such as Tableau and Power BI Expertise with AWS, Azure, GCP, SnowFlake, or other major cloud computing platforms Experience with applied research and technology assessment initiatives to advise transportation agencies on AI-related business transformation decisions Experience in the application of data sciences and AI methods to transportation domains such as toll and traffic operations, ITS, capital programming, mobility solutions, customer behavior/choice in transportation, and toll financing Proven record of thought-leadership and presenting research at professional or academic organizations What We Prefer: Master's degree or higher in Engineering, Computer Science, Mathematics, Statistics, or Data Sciences Relevant data analytics, applied AI, or cloud computing certifications Knowledge of multiple state DOTs business processes Active involvement in professional organizations (such as TRB, IBTTA, ASCE) Track record of relevant publications Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is available for this position. Locations: Arlington, VA (Alexandria), Atlanta, GA, Austin, TX, Boston, MA, Chicago, IL, Dallas, TX, Fort Worth, TX, Minneapolis, MN, Plano, TX (Granite Parkway), Santa Ana, CA (Irvine), St. Louis, MO The approximate pay range for Massachusetts is $180,600.19 - $288,491.20. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. The approximate pay range for Los Angeles Metro Area and Orange County, CA is $173,075.17 - $276,470.74. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. The approximate pay range for Minnesota is $158,025.16 - $252,429.80. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. The approximate pay range for Illinois is $165,550.16 - $264,450.28. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state. NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees. Job Type: Regular Full/Part Time: Full time Job Category: Technical Group ReqID: R-28701 #J-18808-Ljbffr

A leading analytics firm located in Washington, DC is seeking a data analyst to collect and analyze statistics from various sources, conduct statistical modeling, and develop data visualization tools. The ideal candidate will strategize to identify new data opportunities and communicate findings to both business and IT leaders to drive organizational decisions. The company values employee growth and offers extensive training and development opportunities. #J-18808-Ljbffr

A premier analytics consulting firm in California is seeking an experienced Senior Data Scientist to develop and deploy innovative analytics solutions. You will leverage your skills in machine learning, Python, and SQL, collaborating with various teams to drive business value. The ideal candidate has over 7 years of experience and hands-on expertise in data science solutions, particularly within the Semiconductor industry. This position offers growth opportunities in a dynamic environment. #J-18808-Ljbffr

A prominent health innovation organization is looking for a Data Scientist to join their Medicare Stars Team in Washington, DC. The successful candidate will design data pipelines, implement document analytics, and collaborate with various teams to translate business requirements into analytical solutions. Required qualifications include proficiency in statistical analysis, strong programming skills, and a Bachelor's degree in a relevant field. The position offers a competitive salary and numerous benefits. #J-18808-Ljbffr

A leading health solutions provider is seeking a Principal Data Scientist to lead advanced analytics initiatives focused on mental wellbeing. The role requires extensive experience in healthcare analytics, particularly with claims and eligibility data. Responsibilities include project leadership, strategic advisory to senior leadership, and driving scientific research. Ideal candidates will hold a Ph.D. and possess technical skills in Python, R, and BI tools, contributing to innovative healthcare solutions. Competitive compensation and benefits are included. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose‑driven colleagues-caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Overview We are seeking a Principal Data Scientist to lead advanced analytics initiatives that drive innovation in healthcare, with a strong focus on mental wellbeing. This role combines deep technical expertise with domain knowledge in healthcare-particularly on claims and eligibility data, though experience on the provider side is also valuable. The ideal candidate will not only deliver impactful data solutions but also spearhead scientific research and publications that shape the future of mental health strategies. You will work at the intersection of data science, healthcare operations, and research, leveraging cutting‑edge methodologies to solve complex business problems and influence organizational strategy. Key Responsibilities Lead Advanced Data Science Projects: Own end‑to‑end delivery of high‑impact analytics initiatives, from data preparation and modeling to actionable insights. Healthcare Data Expertise: Apply deep knowledge of payer and provider data, including claims, eligibility, and utilization metrics, to inform predictive models and operational strategies. Research & Thought Leadership: Drive scientific studies and publish peer‑reviewed papers on mental wellbeing, positioning the organization as an industry leader. Strategic Advisory: Partner with senior leadership to provide data‑driven recommendations that improve healthcare outcomes and operational efficiency. Innovation in Analytics: Utilize advanced techniques such as A/B testing, clustering, predictive modeling, and pattern recognition to uncover trends and optimize performance. Data Governance & Compliance: Ensure ethical use of healthcare data, adhering to privacy regulations and organizational standards. Team Leadership: Mentor and guide data scientists, fostering a culture of collaboration, innovation, and continuous learning. Technology Mastery: Stay ahead of emerging technologies and methodologies in data science and healthcare analytics. Preferred Qualifications Education: Ph.D. in Data Science, Statistics, Computer Science, Public Health, or related field highly preferred (Master's degree required). Experience: 10+ years in data science roles, with significant experience in healthcare analytics. Proven expertise in payer‑side data (claims, eligibility, risk adjustment); provider‑side experience is a plus. Demonstrated success in publishing research or leading scientific studies. Technical Skills: Proficiency in Python, R, or similar languages; experience with big data platforms and cloud environments. Strong knowledge of BI tools (Tableau, Power BI, Looker) and data engineering concepts (ETL, relational/NoSQL databases). Leadership & Communication: Ability to influence cross‑functional teams and senior stakeholders. Exceptional written and verbal communication skills, including experience presenting complex findings to non‑technical audiences. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No‑cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 01/04/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

A defense contracting company in San Diego is seeking a Mid-Level Data Scientist to support the US Navy on a key project. Responsibilities include system administration for Naval Ship Tracking, software engineering for data analysis tool development, and database management. Ideal candidates have significant Navy network experience, Python expertise, and require a DoD Secret clearance. The position offers a competitive salary range of $63,750 - $89,250 and various benefits including medical and 401(k). #J-18808-Ljbffr

THOR Solutions is actively seeking a Mid-Level Data Scientist to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability Software Engineering and testing to develop data analysis tools and event reconstruction Performs database entry, management, and monitors automated back-up Performs database query analysis Location: Onsite at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. Travel Requirements: Up to 10% travel is anticipated. Typical Physical Activity: Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision. Typical Pay Range: The anticipated pay range for this position in the identified location(s) is $63,750 - $89,250/year. Actual compensation offered will be based upon individual factors including education, qualifications, and experience. Existing Security Clearance Required: This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded. Typical Knowledge, Skills, and Abilities: High School diploma, GED, or equivalent Five (5) years of Navy experience managing Navy computer networks Three (3) years of experience using Python and other programming tools to script data analysis products Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include: Scripting language such as Python with SQL server relational database Security+ certification AZURE Administrator Associate AZ-104 Proficient with common productivity software, including the Microsoft Office suite. Excellent communication skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and traditional/Roth options Medical Insurance (3 plan options) + TRICARE Supplemental Coverage Dental Insurance (2 plan options) Vision Insurance Plan Healthcare and Dependent Care Flexible Spending Accounts Commuter/Transit Benefits Basic Life/AD&D, Short-Term and Long-Term Disability Insurance Supplemental Life Insurance Pet Benefits Legal Resources ID Theft Benefits Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at *************************** or **************. #J-18808-Ljbffr

Data Scientist (AI/ML) - Remote (US-Based Only) Schedule: Monday-Friday, 8:30 AM-5:00 PM (Local Time) Employment Type: Temp-to-Hire (Performance-Based) Work Setup: Dual monitors + docking station required Location Requirement: Must reside in one of the preferred states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY outside greater NYC , OH, TX, UT, WA outside greater Seattle , WI) About the Role We are seeking an experienced Data Scientist (AI/ML) to develop, deploy, and optimize advanced machine learning solutions across healthcare-driven initiatives. This role focuses on data integrity, model development, agentic workflows, and the creation of predictive AI systems that directly support business and clinical decision-making. You will collaborate with cross-functional teams, perform complex analysis, and contribute to innovation within AI/ML for healthcare. Key Responsibilities Perform data analysis, error detection, and model validation to ensure high-quality datasets. Design, develop, and train supervised, unsupervised, deep learning, and reinforcement learning models. Implement agentic workflows to enable AI-driven autonomous task execution. Leverage RAG (Retrieval-Augmented Generation) patterns to enhance language model performance. Fine-tune pre-trained models for domain-specific datasets and applications. Clean, preprocess, and transform data to support optimal model outcomes. Deploy models into production, monitor real-time performance, and adjust as needed. Partner with engineering, product, and business teams to integrate AI solutions into existing systems. Maintain clear documentation on models, methodologies, and outputs. Stay current with advancements in AI/ML and incorporate best practices into ongoing development. Provide mentorship and technical leadership to junior data scientists. Support business initiatives by developing ML models that drive Star Ratings improvements, reduce care gaps, and support healthcare outcomes. Required Qualifications US Citizenship Required PhD or equivalent experience in a quantitative field 6+ years of experience as a Data Scientist (healthcare preferred but not required) Expertise in Python and R Experience with ML frameworks: TensorFlow, Keras, PyTorch Strong understanding of statistical methods including SVM, Naive Bayes, neural networks, k-NN Experience designing agentic workflows or autonomous AI operations Knowledge of RAG techniques and retrieval-augmented model development Strong SQL/NoSQL experience; understanding of SDLC and data warehousing concepts Proficiency in data visualization (Tableau, Power BI) Strong analytical and problem-solving skills with the ability to handle complex datasets Preferred Qualifications Experience with Databricks, Snowflake, Azure AI Studio, or similar cloud AI platforms Familiarity with NLP, LLM optimization, and computer vision techniques Work Environment Fully remote within approved states Must be able to work from your local time zone Dual monitors and docking station required for daily operations

Your Growth You are someone who thrives in a high‑performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well‑rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You'll work with the OneData organization focused on building enterprise data capabilities to support the Firm's data strategy. Our team is distributed across multiple locations, including offices in North America and Europe. The OneData organization is dedicated to advancing the capabilities and applications of Generative AI within our firm, driving innovation, and delivering impactful AI solutions. As a member of the OneData organization, you will collaborate with the data teams team to deliver state‑of‑the‑art generative AI automations. You will experience what it's like to develop a generative AI product with a firm‑wide impact. You'll join a cross‑functional team of data scientists, engineers, designers, and product managers working on a high‑priority initiative. Leveraging cutting‑edge technology, we aim to revolutionize how we build data capabilities. You will work hands‑on with the latest multimodal LLMs, conducting experiments and deploying production pipelines that utilize generative models (such as GPT‑like models) for automating data curation, data lineage, data quality checks, data products creation. This includes model training, fine‑tuning, evaluation, and iteration, enhancing creativity and content generation. Your qualifications and skills 5+ years of experience as a Data Scientist Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI Required experience with OpenAI's GPT suite, including previous experience with their multimodal LLMs: GPT4V, GPT4o Theoretical understanding of how LLMs can be leveraged to build classification models and recommendation systems Strong programming skills: well‑versed with building end‑to‑end data models and pipelines in Python according to the best engineering practices Experience managing a Git repository - maintaining effective version control with organized & clean branching strategies #J-18808-Ljbffr

A leading consulting firm is seeking an experienced Data Scientist to join their OneData organization. You will work on revolutionary generative AI projects and collaborate with a talented team across various locations. The ideal candidate has over 5 years of experience and a strong background in NLP, Transformers, and data modeling. This role offers competitive compensation and exceptional benefits in a high-performance environment. #J-18808-Ljbffr

is remote. Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities Gain exposure to a variety of program/project situations to develop business and organizational/planning skills Retain knowledge gained and performance feedback provided to transfer into future work Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions Collaborate with internal teams to collect, analyze, and automate data processing Leverage AI models, including LLMs, for developing intelligent solutions that enhance data-driven decision-making processes for both internal projects and external clients Leverage machine learning methodologies, including non-linear, linear, and forecasting methods to help build solutions aimed at better understanding the business, making the business more efficient, and planning our future Work under the guidance of a variety of Data Science team members, gain exposure to developing custom data models and algorithms to apply to data sets Gain experience with predictive and inferential analytics, machine learning, and artificial intelligence techniques Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members and end users Contribute to automating business workflows by incorporating LLMs and other AI models to streamline processes and improve efficiency Integrate AI-driven solutions within existing systems to provide advanced predictive capabilities and actionable insights Learn to work individually as well as in collaboration with others Desired Skills/Experience: Bachelor's degree is required in the field of Statistics, Computer Science, Economics, Analytics, or Data Science preferred 1+ year of experience preferred Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred Combination of relevant experience, education, and training may be accepted in lieu of degree Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $90,000 - $125,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

We are seeking a Senior Data Engineer with deep, hands-on Snowflake experience to design, optimize, and support scalable data solutions in a fully remote, U.S.-based role. This position focuses on high-impact Snowflake work, including performance tuning, complex data challenges, and on-prem to cloud migration initiatives. The ideal candidate is highly technical, communicative, and comfortable working with messy, real-world data across multiple sources. Responsibilities Design, build, and optimize scalable data pipelines and data models in Snowflake Leverage advanced Snowflake features to improve performance, efficiency, and scalability Tune and optimize complex SQL queries and workloads Support and execute migrations from on-prem data environments to Snowflake Work with inconsistent, multi-source internal and external datasets Partner with stakeholders to gather requirements and translate them into technical solutions Document data processes, architectures, and optimization strategies Requirements Senior-level experience as a Data Engineer Minimum 2+ years of hands-on Snowflake experience, beyond basic querying Strong SQL skills with proven performance tuning and optimization experience Experience supporting or leading on-prem to Snowflake migrations Python experience or equivalent scripting language proficiency Experience working with complex, messy, or poorly structured data Strong written and verbal communication skills Must reside in the United States and be generally aligned to U.S. Eastern Time Nice to Have: Mortgage or financial services data experience Experience with Airflow, dbt, or similar orchestration tools Cloud platform experience (AWS, Azure, or GCP) Background in regulated or highly data-governed environments

Description We are looking for a skilled ADP Data Extraction Consultant to join our team in Cleveland, Ohio. In this long-term contract position, you will play a vital role in supporting HR and payroll data operations by extracting, transforming, and integrating data into Workday systems. This opportunity is ideal for candidates with expertise in scripting and database management who thrive in collaborative environments. Responsibilities: - Extract and transform HR and payroll data from ADP systems for integration into Workday. - Create and maintain scripts using Python or PowerShell to streamline manual workflows and repetitive tasks. - Collaborate with HR and IT teams to address reporting needs and ensure seamless data integration. - Monitor and troubleshoot data-related issues to maintain system optimization and accuracy. - Ensure compliance and data integrity across all processes and workflows. - Develop and implement solutions to improve automation and efficiency within the data management framework. - Support ongoing improvements and enhancements to Workday and ADP systems. - Maintain documentation for processes and scripts to facilitate knowledge sharing and operational consistency. - Conduct regular reviews of data structures within ADP and Workday to ensure accuracy and alignment. - Provide technical guidance to stakeholders on data extraction and integration best practices. Requirements - Minimum of 2 years of experience in database administration or data analysis. - Proficiency in scripting languages such as Python or PowerShell. - Strong knowledge of ADP systems and data structures. - Familiarity with Workday HRIS and integration processes. - Hands-on experience with Microsoft SQL and configuration management. - Ability to troubleshoot and resolve data-related issues effectively. - Excellent communication and collaboration skills to work with cross-functional teams. - Strong attention to detail and commitment to maintaining data accuracy and compliance. Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .