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Senior Decision Scientist - Product Analytics

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

111240.00 - 222480.00 USD / Year

Job Description:

Senior Decision Scientist role in Product Analytics at CVS Health, working to drive innovation and growth in Aetna's Product Analytics using consumer marketing, sales, and product design that leverages data science and consulting skills to help Aetna acquire new members.

Job Responsibility:

  • Work closely with Marketing and Sales partners to inform Aetna's Commercial member growth strategy through analytics
  • Build models that translate ambiguous problems into logical frameworks
  • Investigate opportunities to drive revenue growth across business operations and marketing growth funnels
  • Consult on creation of analytics solutions that weigh business and technical tradeoffs

Requirements:

  • 3+ years of experience in business analytics
  • Strong theoretical and hands-on experience with statistics and causal inference
  • Hands-on programming skills in Python and SQL
  • Hands-on experience with cloud computing (Google Cloud, AWS, etc.) preferred
  • Hands-on experience with tools and processes for version control (i.e. git, GitHub) preferred
  • Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
  • PhD preferred

Nice to have:

  • Mastery of problem solving and decision-making skills
  • Mastery of collaboration and teamwork
  • Mastery of growth mindset (agility and developing yourself and others) skills
  • Mastery of execution and delivery (planning, delivering, and supporting) skills
What we offer:
  • Affordable medical plan options
  • 401(k) plan with matching company contributions
  • Employee stock purchase plan
  • Wellness screenings
  • Tobacco cessation and weight management programs
  • Confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
November 23, 2025

Expiration:
December 28, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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