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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and marketing analytics, with a strong focus on developing audience segmentation, predictive modeling, and performance measurement frameworks. Proven ability to lead cross-functional initiatives and communicate insights effectively to drive member engagement and health outcomes.
Highest-signal resume keywords
Data ScienceMarketing AnalyticsGCP BigQueryMachine LearningExperimental Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisAudience SegmentationPropensity ModelsA/B TestingPredictive ModelingCausal InferenceImpact MeasurementCampaign StrategyBehavioral Science PrinciplesData-Driven Decision-Making
Soft Skills
CommunicationCollaborationLeadership
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Member EngagementHealth OutcomesCampaign PerformanceROIClinical Impact
Tech Stack
Tools & technologiesBigQueryGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Lead the sizing, targeting, launch, and performance evaluation of marketing campaigns designed to improve member outcomes and engagement
- Develop audience segmentation, propensity models, and targeting strategies for engagement interventions
- Design and measure experiments, A/B tests, and incentive programs to optimize member activation, product adoption, retention, and health outcomes
- Analyze member behavior across digital products and healthcare touchpoints
- Build predictive and prescriptive models informing campaign strategy, reward structures, and personalized member experiences
- Partner with Product, Marketing, Care Management, and Operations teams on analytics-driven engagement solutions
- Establish KPIs and measurement frameworks for campaign performance, ROI, member engagement, and clinical impact
- Communicate insights, recommendations, and performance results to senior stakeholders and business leaders
- Lead cross-functional initiatives scaling successful engagement strategies at enterprise level
- Collaborate with Data Engineering and MLOps teams to operationalize targeting models and automate campaign execution and measurement
- Foster experimentation and continuous optimization using data-driven decision-making and behavioral science principles
Requirements
What you’ll need- Bachelor's Degree
- Strong background in data science and marketing analytics
- 5+ years of hands-on experience with GCP BigQuery, Python, machine learning, and statistical analysis
- 3+ years of experience with experimental design, causal inference, and impact measurement
- Ability to translate analytical insights into actionable product or campaign strategies
Benefits
Comp & perks- Bonus
- Benefits information available at https://www.exlservice.com/us-careers-and-benefits
