Manager - Data Scientist at EXL in Jersey City, New Jersey, United States
- Company: EXL
- Location: Jersey City, New Jersey, United States
- Posted: Sep 24, 2026
- Type: Full-time
- Salary: $110-130k plus bonus
- Experience: 6+ years
Overview
Senior Data Scientist Hybrid, NJ $110-130k plus bonus For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and ref…
Job description
- Senior Data Scientist
- Hybrid, NJ
- $110-130k plus bonus
- For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
- The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
- As a Senior Data Scientist, you will lead the design, targeting, launch, and measurement of marketing campaigns that drive member activation, ongoing engagement, and improved health outcomes. You will leverage advanced analytics, machine learning, experimentation, and behavioral science to identify engagement opportunities, optimize incentive strategies, and deliver personalized interventions across digital and care delivery ecosystem. Working closely with Product, Marketing, Care Management, and Analytics partners, you will translate data-driven insights into scalable engagement programs that increase product adoption, member retention, and measurable business impact
Responsibilities
- 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 to identify members most likely to benefit from specific 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 to uncover opportunities to increase engagement and 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.
- Establish KPIs and measurement frameworks to assess campaign performance, ROI, member engagement, and clinical impact.
- Communicate insights, recommendations, and performance results to senior stakeholders and business leaders.
- Lead cross-functional initiatives that scale successful engagement strategies at enterprise level
- Collaborate with Data Engineering and MLOps teams to operationalize targeting models and automate campaign execution and measurement
- Foster a culture of experimentation and continuous optimization through data-driven decision making and behavioral science principles.
Requirements
- Strong background in data science & marketing analytics
- 5+ Hands-on experience with GCP BigQuery, Python, ML & statistical analysis
- 3+ Experience with experimental design, causal inference, and impact measurement.
- Ability to translate analytical insights into actionable product or campaign strategies
- Adapting To Change
- Advanced Excel
- Attention To Consistency
- Business Intelligence Tools
- Enterprise Data Warehouse
- Interpersonal Dynamics with Coworkers
- Power Business Intelligence
- Results Orientation
- SQL Analysis
- Tableau
- Time Management Skills
- Working under Pressure
- Writing Communication Skills
Skills
Required
- GCP BigQuery
- Python
- Machine Learning
- Statistical analysis
- Experimental design
- Causal inference
- Impact measurement
- Advanced Excel
- Business Intelligence Tools
- Enterprise Data Warehouse
- Power Business Intelligence
- SQL Analysis