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Position Summary

As a Data Scientist within the Clinical Analytics Product Solutions team, you will be responsible for creating innovative solutions to drive better healthcare outcomes for members with complex care needs. This role will support the development and implementation of analytic products to enhance the impact of Aetna’s care management programs, including creation of predictive models and machine learning/deep learning algorithms to identify care opportunities, A/B testing of intervention strategies, prioritization of clinical recommendations, evaluating product effectiveness, and optimization of information delivery. You will be responsible for participating in all phases of initiatives from exploration of clinical opportunities, development of solutions, and partnering with IT and business teams for implementation. This role will be focused on iteratively solving for business problems by designing and implementing scalable data science solutions.

If you have a strong background in data analytics, a keen eye for identifying business opportunities through data, and the technical expertise to build scalable, actionable solutions, we’d love to hear from you. Join us in making a difference by turning data into strategic insights that drive real-world impact.

Key Responsibilities:

• Lead the identification and deep analysis of business problems to assess the feasibility and impact of analytics and data science solutions tailored to our needs.

• Explore, assess, and validate diverse data sources for analytics initiatives, ensuring data quality and relevance for business problem-solving.

• Develop, implement, and maintain data-driven solutions that address specific business challenges, optimizing for member engagement and experience.

• Establish, monitor, and report on key performance indicators (KPIs) aligned with strategic and financial goals, enabling clear visibility into the success of analytics initiatives.

• Formulate and propose actionable recommendations for further analytics development, fostering data-driven discussions within the team.

• Coordinate with team members to ensure seamless integration of analytics solutions into broader business initiatives, actively communicating status updates and adjustments as needed.

• Conduct independent research to support solution development, proactively identifying resources and solutions while collaborating as necessary to address complex challenges.

• Conduct thorough data exploration and maintain detailed documentation to support the scalability, transparency, and reproducibility of analytics initiatives.

• Use an iterative approach to build analytics solutions, starting with fundamental models and progressively enhancing complexity based on observed impact, balancing effort with outcome.

• Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

• Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques and mathematical analyses.

Required Qualifications

• 1+ year of relevant Data Science experience

• 1+ year experience programming in SQL and Python to manipulate large data sets and develop Statistical Models

• 1+ year experience working with Cloud Computing (GCP, AWS or Azure)

• 1+ year experience with Statistical Analysis, Machine Learning and Predictive Modeling

Preferred Qualifications

• Statistics or Biostatistics background

• Experience deploying models in production

• Experience with GitHub

• Experience in Google Cloud/BigQuery

• Excellent problem-solving skills, critical thinking and conceptual thinking abilities

• Strong ability to communicate technical concepts and implications to business partners

• Knowledge of health care industry

Education

• Bachelor’s degree in Biostatistics, Statistics, Epidemiology, Economics, Physics, Engineering or related discipline.

• Master’s degree preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The 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.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)

We anticipate the application window for this opening will close on: 04/05/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.