Lead Data Scientist (Medicare Sales Strategy)
$118,450 per year
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Posted 3 days ago
SENIORITY
Manager
SALARY
$118,450 per year
About the role
- Define and drive the data science strategy supporting Medicare sales, distribution, and enrollment growth
- Lead a team of data scientists and analysts — setting priorities, reviewing work, and developing talent
- Architect and oversee end-to-end modeling pipelines: lead scoring, enrollment forecasting, agent performance, and retention risk
- Own the sales data ecosystem — governance, quality standards, and integration across CRM, CMS, and internal platforms
- Translate ambiguous business questions from Sales, Marketing, and Finance leadership into structured analytical programs
- Establish best practices for model development, validation, deployment, and monitoring across the team
- Present findings and recommendations directly to VP/C-suite stakeholders; influence strategic decisions with data
- Partner with Engineering and IT to productionize models and embed insights into sales workflows and tools
- Represent the data science function in cross-functional planning, budgeting, and roadmap discussions
- 5+ years in data science or advanced analytics, with 3+ years in a lead, staff, or principal capacity including:3+ years supporting Medicare, Medicare Advantage, or Part D sales or distribution organizations
- Proven track record leading and mentoring a team of data scientists or analysts
- Expert-level SQL; advanced proficiency in Python or R for modeling, automation, and pipeline development
- Deep experience with CMS data assets (enrollment files, landscape files, MCMG-regulated data)
- Experience integrating CRM (Salesforce or similar), broker/FMO data, and BI platforms (Power BI, Tableau, Looker)
- Strong communication skills — able to translate complex models into executive-level narratives
- 8+ years of experience in Data Science or advanced Analytics
- Experience with MLOps practices: model versioning, monitoring, drift detection, and retraining workflows
- Background in territory optimization, GIS analysis, or market sizing for Medicare-eligible populations
- Master's or PhD in Statistics, Data Science, Computer Science, or related field (or equivalent experience)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
