below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$126,800–$208,668
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$168k
for comparable roles.
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
109 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 107 roles with salary data.
The Lead Data Scientist - Aetna Medicare Stars joins the Stars Data Science team to own analytics and decision support for the Patient Safety measure set. This role involves building analytical frameworks, cohort segmentation, risk scoring, and gap-prediction models for medication adherence, SUPD, and polypharmacy. The Lead Data Scientist translates measure-level performance into actionable interventions, designs outreach pilots using pre/post and control-group methodology, and provides technical mentoring to junior and mid-level data scientists. Key technical requirements include proficiency in SQL, Python, and BigQuery to analyze large claims or clinical datasets. The position requires deep knowledge of CMS Patient Safety measures and Star Ratings methodology to solve complex problems regarding drug interaction risks, denominator composition, and adherence trends within the Medicare Advantage and Part D domains.
Own end-to-end analytics for Patient Safety measures including medication adherence, SUPD, and polypharmacy.
Build and maintain cohort segmentation, risk scoring, and gap-prediction models for large claims and clinical datasets.
Design and evaluate outreach and intervention pilots using pre/post and control-group methodologies to quantify ROI.
Provide technical mentoring to junior and mid-level data scientists by reviewing methodology and code.
Translate measure-level findings into actionable business recommendations for clinical pharmacy and population health leaders.
Present technical findings and strategic recommendations to Stars leadership in business and clinical terms.
Monitor CMS Patient Safety measure specifications and flag changes that impact organizational strategy.
Evaluate vendor and program performance for medication therapy management and pharmacy partnership interventions.
What we're looking for
8+ years of experience in data science, analytics, or decision science.
Experience in healthcare, pharmacy, or Medicare Advantage/Part D (preferred).
Deep hands-on technical skill in SQL and Python.
Experience building production-grade cohort and predictive models on large claims or clinical datasets using BigQuery or equivalent.
Working knowledge of Medicare Part D Patient Safety measures and CMS Star Ratings methodology, or the ability to ramp quickly on these details.
Demonstrated experience designing and evaluating outreach or intervention pilots using control-group and ROI methodology.
Track record of mentoring and technically leading other data scientists.
Bachelor's degree required; degree in a quantitative field (statistics, computer science, applied math, biostatistics) preferred; advanced degree a plus.
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