Job Description

Data Scientist Aetna Member Experience

Data Scientist Aetna Member Experience

2 days ago Be among the first 25 applicants

At CVS Health, were building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nations 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.

Data Scientist

STARS Analytics and Behavior Change team is looking for an accomplished data scientist to expand the member experience team. This person would work with a small and dynamic team to build innovative solutions that quantify and improve member experience for Aetna Members. There will be hands-on technical projects along with the opportunity to pitch novel solutions to business stakeholders.

Description/Fundamental Components

• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Explores, examines and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems
• 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
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Required Qualifications

• 1 -2+ years of relevant analytic experience
• Experience programming using R or Python
• Strong Experience in SQL

Preferred Qualifications

• Demonstrates good written and verbal communication skills and a strong ability to communicate technical concepts and implications to business partners
• 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
• Ability to work with large data sets from multiple data sources

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 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.

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.

For more information, visit

We anticipate the application window for this opening will close on: 05/19/2025

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

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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Job Tags

Hourly pay, Full time, Temporary work, Work experience placement, Local area, Flexible hours,

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