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Cvs Health Data Science Jobs (NOW HIRING)

$67K - $108K/yr

Red Oak is a joint venture between two Fortune 20 leading healthcare companies, CVS Health and ... The role will also serve as Red Oak's data science subject matter expert, guiding and training ...

Manager, Solutions Delivery

New York, NY · On-site

$83K - $203K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Advanced quantitative or analytical coursework preferred (Data Science, Business Analytics ...

Product Manager - Pharma

Los Angeles, CA · On-site +1

$66K - $159K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Partner with engineering, design, data science, and operations to build scalable, high-performing ...

Product Manager - Pharma

Boston, MA · On-site +1

$66K - $159K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Partner with engineering, design, data science, and operations to build scalable, high-performing ...

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... You will collaborate with data scientists, product owners, and business stakeholders to deliver ...

Product Manager - Pharma

Wellesley, MA · On-site +1

$66K - $159K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Partner with engineering, design, data science, and operations to build scalable, high-performing ...

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Cvs Health Data Science information

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$10

$42

$92

How much do cvs health data science jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for cvs health data science in the United States is $42.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $60.34 per hour, depending on experience, location, and employer.

What is the difference between Cvs Health Data Science vs Cvs Health Data Analyst?

AspectCvs Health Data ScienceCvs Health Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsOperational settings, reporting, data interpretation for business decisions
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within CVS HealthApplied in daily reporting, data management, and supporting business operations at CVS Health

While both roles involve working with data at CVS Health, Data Scientists focus on advanced analytics, predictive modeling, and research, requiring programming skills and a strong statistical background. Data Analysts primarily handle data reporting, visualization, and supporting operational decisions, often with proficiency in tools like Excel and SQL. Understanding these differences helps clarify career paths and job expectations within CVS Health.

How do data scientists at CVS Health typically collaborate with cross-functional teams to deliver impactful solutions?

At CVS Health, data scientists frequently work alongside product managers, engineers, clinicians, and business stakeholders to develop data-driven solutions that improve patient outcomes and operational efficiency. Collaboration often involves translating complex analytical findings into actionable insights, participating in regular team meetings, and iterating on models based on feedback from subject matter experts. This cross-functional approach ensures that data science initiatives are aligned with both technical feasibility and business goals, providing opportunities for data scientists to broaden their domain knowledge and develop strong communication skills.

What are the key skills and qualifications needed to thrive as a CVS Health Data Scientist, and why are they important?

To thrive as a CVS Health Data Scientist, you need a strong background in statistics, machine learning, and data analysis, often supported by a degree in computer science, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with cloud computing platforms such as AWS or Azure are typically required. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across multidisciplinary teams are crucial soft skills. These skills and qualities are important for transforming complex healthcare data into actionable insights that drive organizational decision-making and improve patient outcomes.

What does a Data Scientist do at CVS Health?

A Data Scientist at CVS Health uses data analysis and machine learning techniques to solve healthcare-related problems, such as improving patient outcomes, optimizing pharmacy operations, and personalizing customer experiences. They work with large datasets, collaborate with cross-functional teams, and develop models that drive key business decisions. Their role is crucial in leveraging data to enhance healthcare services and operational efficiency within the company.
More about Cvs Health Data Science jobs
What cities are hiring for Cvs Health Data Science jobs? Cities with the most Cvs Health Data Science job openings:
Infographic showing various Cvs Health Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 2% Full Time, 96% Part Time, and 1% Temporary. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $88,690 per year, or $42.6 per hour.
Data Scientist I- Public Health

Data Scientist I- Public Health

Cherokee Federal

Atlanta, GA

$90K - $105K/yr

Other

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

Job Description
Bioinformatics Support I - Data Science & Informatics
A government contract requires that this position be restricted to provide documentation that you are a U.S. citizen or legal permanent resident to qualify.
*** An active NACI clearance or the ability to obtain a NACI clearance is required for consideration. ***
The Bioinformatics Support I - Data Science & Informatics role provides analytical and technical support for public health surveillance, data engineering, and advanced analytics initiatives within CDC's Division of Global Migration Health (DGMH).
This role focuses on building and maintaining data pipelines, performing large-scale data analysis, and supporting the development of statistical models and dashboards that inform operational decision-making. The ideal candidate is comfortable working with complex datasets, developing reproducible workflows, and translating data into actionable insights in a fast-paced public health environment.
Compensation & Benefits:
Estimated Starting Salary Range for Bioinformatics Support I - Data Science & Informatics: $90,000- $105,000
Pay commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Bioinformatics Support I - Data Science & Informatics Responsibilities Include:
Design, build, and maintain data pipelines to ingest, transform, and validate large datasets supporting public health surveillance efforts
Analyze complex datasets to identify trends, anomalies, and actionable insights that inform program operations and decision-making
Develop and support statistical analyses, basic modeling, and data-driven reporting to support monitoring and forecasting activities
Clean, standardize, and validate data to ensure accuracy, consistency, and usability across systems and reporting outputs
Create dashboards, visualizations, and reports to communicate findings to both technical and non-technical stakeholders
Document data processes, workflows, and standard operating procedures to support reproducibility and data governance
Integrate data from multiple internal systems and external partners, ensuring alignment with program needs
Automate routine data processing and reporting tasks to improve efficiency and reduce manual effort
Collaborate with cross-functional teams, including epidemiologists, bioinformaticians, and program staff to support analytics and data initiatives
Participate in meetings, briefings, and stakeholder engagements to support program coordination and data interpretation
Bioinformatics Support I - Data Science & Informatics Experience, Education, Skills, Abilities requested:
Master's degree in Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, or related quantitative field
Strong experience working with large datasets and complex data structures
Proficiency in:
  • Python (preferred), R, or similar programming languages
  • SQL and database querying
  • Data processing frameworks (e.g., PySpark)

Experience building and maintaining data pipelines and reproducible workflows
Knowledge of statistical modeling, machine learning, or advanced analytics techniques
Strong problem-solving and analytical skills
Ability to manage multiple priorities and deadlines in a fast-paced environment
Strong written and verbal communication skills
Advanced proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint)
Must pass the pre-employment qualifications of Cherokee Federal
Preferred Qualifications:
Experience with public health surveillance systems or datasets
Experience with platforms such as Palantir Foundry or CDC 1CDP
Experience developing dashboards or data visualization tools (Tableau, Power BI, or similar)
Familiarity with data governance, security, and compliance in federal environments
Experience integrating data from multiple sources and partners
Exposure to time-series analysis, forecasting, or anomaly detection
Company Information:
Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.
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Cherokee Federal is a military-friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar Searchable Job Titles:
Data Scientist (Public Health)
Data Engineer
Bioinformatics Analyst I
Public Health Data Analyst
Analytics Engineer
Keywords:
Data Science
Data Engineering
Python
SQL
Machine Learning
Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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