Product Decision Scientist

CVS Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Texas
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Dec 27, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $183k
$130k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,000–$226,850.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 119 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 115 roles with salary data.

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At a glance

TL;DR · Product Decision Scientist

The Product Decision Scientist joins the Clinician Enablement & Ecosystem Product team to own analytics strategy and influence product direction. In this hands-on role, the individual will deliver measurable business impact by assisting with reporting needs, optimizing product experiences, and performing feature prioritization and strategy through light experimentation and data analysis. The position involves working closely with Ireland-based product teams to solve specific product problems. Key technical requirements include expert-level SQL for analyzing large, complex datasets, Power BI, and Python for analytics using Jupyter notebooks and pandas. Candidates must demonstrate stakeholder management skills to interpret technical details for non-technical audiences. Additional required competencies include familiarity with Claude Code or similar AI tools, digital analytics platforms like Mixpanel or Adobe Analytics, and basic knowledge of DBT or A/B testing.

What you'll do

  • Own the analytics strategy to influence product direction and deliver measurable business impact.
  • Analyze large, complex datasets using expert-level SQL and Python.
  • Create and manage reports and dashboards using Power BI.
  • Optimize product experiences and assist with feature prioritization.
  • Conduct data analysis and light experimentation to support data-driven decisions.
  • Interpret technical details for non-technical audiences and manage key stakeholders.
  • Utilize digital analytics tools like Mixpanel or Adobe Analytics to track performance.

What we're looking for

  • 1 to 3 years of experience in the field.
  • Expert-level SQL skills with experience analyzing large, complex datasets.
  • 1 to 3 years of experience with Power BI.
  • 1 to 3 years of Python experience for analytics, such as Jupyter notebooks and pandas.
  • 1 to 2 years of stakeholder management experience building relationships and interpreting technical details for non-technical audiences.
  • Familiarity with Claude Code or similar AI tools.
  • Familiarity with digital analytics tools such as Mixpanel or Adobe Analytics.
  • Bachelor's degree preferred/specialized training/relevant professional qualification.

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