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Job Description

EXL Service is hiring a Manager - Data Scientist to support data-driven marketing initiatives in a hybrid role based in Jersey City, NJ. In this position, you will lead the end-to-end work behind designing, launching, and evaluating marketing campaigns that aim to improve member activation, engagement, and health outcomes.

What you’ll do

  • Lead the sizing, targeting, launch, and performance evaluation of marketing campaigns built to improve member outcomes and engagement.
  • Create audience segmentation approaches, propensity models, and targeting strategies to identify members most likely to benefit from specific engagement interventions.
  • Design and measure experiments, A/B tests, and incentive programs to optimize activation, product adoption, retention, and health outcomes.
  • Analyze member behavior across digital products and healthcare touchpoints to uncover opportunities to increase engagement and strengthen program effectiveness.
  • Build predictive and prescriptive models that inform campaign strategy, reward structures, and personalized member experiences.
  • Partner with Product, Marketing, Care Management, and Operations teams to translate business objectives into analytics-driven engagement solutions.
  • Define KPIs and measurement frameworks to evaluate campaign performance, ROI, member engagement, and clinical impact.
  • Communicate insights, recommendations, and results to senior stakeholders and business leaders.
  • Lead cross-functional initiatives that scale successful engagement strategies at the enterprise level.
  • Work with Data Engineering and MLOps teams to operationalize targeting models and automate campaign execution and measurement.
  • Promote a culture of experimentation and continuous optimization using data-driven decision making and behavioral science principles.

Requirements

  • Strong background in data science and marketing analytics.
  • 5+ years hands-on experience with GCP BigQuery, Python, ML, and statistical analysis.
  • 3+ years experience with experimental design, causal inference, and impact measurement.
  • Ability to translate analytical insights into actionable product and campaign strategies.

Tech stack

  • GCP BigQuery
  • Python
  • ML

Role details

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