We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
Position SummaryWe are seeking a Data Scientist to join the SI Analytics team, supporting building campaigns and member outreach for our behavioral health portfolio. This entry-level role provides hands-on experience in data science and analytics and cross-functional collaboration.
What You Will Do:
- Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions
- Analyze large datasets to extract meaningful insights and support decision-making
- Perform analyses of structured and unstructured data to solve moderately complex business problems
- Utilize advanced statistical techniques and mathematical analyses
- Develop and maintain data pipelines to facilitate campaign launches and data integration that helps generate insights and addresses reporting needs
- Use data visualization techniques to effectively communicate analytical results and support business decisions
- Create and evaluate the data needs of assigned projects and assures the integrity of the data
- Communicate data findings and analysis results to non-technical stakeholders in an understandable way
- Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC.
Required Qualifications- 1+ year experience (intern experience is relevant) in analytics or programming
- 1+ year experience with SQL
- 1+ year experience programming with Python
Preferred Qualifications- Experience with Google BigQuery and Apache Airflow
- Effectively resolves problems and roadblocks as they occur
- Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Education- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
- Master's degree preferred
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$86,520.00 - $173,040.00
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.
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 peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- 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 ;br>
We anticipate the application window for this opening will close on: 03/05/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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