Data Scientist
The Data Scientist will support the Product Engagement Booster, a business-facing analytics capability designed to identify where to focus engagement efforts, which members to engage, and which programs drive measurable value and ROI. This role sits at the intersection of data science, product ownership, and execution enablement, with a strong emphasis on driving personalized member utilization where it matters most.
Key Responsibilities
Opportunity Sizing & Segmentation
- Conduct population sizing and opportunity assessments to identify high-value member segments.
- Use GCP BigQuery to create scalable cohorts, metrics, and benchmarks.
- Partner with stakeholders to define priority populations and value drivers.
Targeting Strategy & Execution Enablement
- Develop predictive models and analytical frameworks in Python to guide targeting and prioritization.
- Translate insights into campaign-ready hypotheses executable in platforms
- Enable personalized outreach aligned to member needs and engagement potential.
Measurement, Causal Inference & ROI
- Evaluate campaign effectiveness using experimental and causal methods (A/B testing, lift analysis).
- Separate true incremental impact from selection bias or noise.
- Communicate results clearly, distinguishing statistically significant vs. directional findings.
Product Ownership & Stakeholder Management
- Own and prioritize the analytics/product backlog.
- Define requirements, success metrics, and acceptance criteria.
- Partner cross-functionally to ensure insights translate into measurable business outcomes.
Required Skills & Qualifications
- 4+ years of Strong background in data science, analytics, or decision science.
- Hands-on experience with SQL, GCP BigQuery and Python.
- Experience with experimentation, causal inference, and impact measurement.
- Ability to translate analytical insights into actionable product or campaign strategies.
Preferred Qualifications
- Experience enabling execution in engagement
- Familiarity with healthcare or member engagement analytics.
Success Criteria (6–12 Months)
- Deliver repeatable opportunity sizing and segmentation frameworks.
- Enable personalized targeting strategies adopted by execution teams.
- Establish credible ROI and impact narratives trusted by senior leadership.
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
