Data Scientist - Clinical Analytics

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 Summary
Aetna's Clinical Analytics team creates innovative analytic tools to drive better healthcare outcomes. We're currently seeking a Data Scientist to support the development and implementation of analytic capabilities that enhance the impact of Aetna's care management programs.

Responsibilities include:

• Development of advanced analytics, predictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery.
• Explores, examines, and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Uses data visualization techniques to effectively communicate analytical results and support business decisions.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
• Collaborating with other data scientists and business partners and participating in all phases of initiatives from exploration of clinical opportunities, development of solutions, to partnering with IT and business teams for implementation.

Required Qualifications

• 2+ years Analytic experience
• 2+ years SQL Programming experience
• 1+ year experience at a Data Scientist
• 1+ year experience with Python
• 1+ year experience with Cloud ( Google Cloud Platform , AWS or Azure )
• 1+ year experience communicating technical concepts to business

Preferred Qualifications

• Experience with BigQuery ( BQ )
• Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Understanding of health care industry and clinical research concepts
• Good written and verbal communication skills
• Ability to work with large data sets from multiple data sources

Education

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, 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:

$72,100.00 - $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 people

We 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.

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We anticipate the application window for this opening will close on: 06/16/2025

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