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Lead Decision Scientist – Specialty Provider Analytics

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States , Work at Home

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Contract Type:
Not provided

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Salary:

130295.00 - 260590.00 USD / Year

Job Description:

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.

Job Responsibility:

  • Lead development of advanced analytics to enhance CVS Specialty customer service to providers to drive customer loyalty and business growth
  • Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in CVS Specialty pharmacy
  • Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analyses, data reports and performance metrics
  • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
  • Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Requirements:

  • 5+ years of analytic experience independently driving analysis and initiatives with track record of business impact
  • 5+ years of data science experience, preferred in consulting experience
  • 5+ years of experience with advanced machine learning techniques, such as generalized linear models, tree-based models, clustering, natural language processing, and deep learning
  • Familiarity with GenAI trends and technologies including major LLM provider APIs (OpenAI, Gemini, Anthropic, etc.) as well as archetypal GenAI solutions (RAG, co-pilots, document summarization, etc.)
  • Prior experience using and managing projects leveraging Cloud technologies (Azure, GCP, AWS, Databricks)
  • Expert level programming skills in Python, SQL
  • Ability to engage with senior business stakeholders, execute level communication and influencing skills
  • Highly motivated individual willing to upskill with an ability to work in an extremely fast paced environment both individually and with a team
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

Nice to have:

  • Demonstrates strong ability to communicate technical concepts and implications to business partners
  • Anticipates and prevents problems and roadblocks before they occur
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
  • Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.
  • Highest level of attention to detail when working within legal and compliance regulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data
  • Master’s degree or PhD preferred
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including 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:
February 22, 2026

Expiration:
March 29, 2026

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

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