Senior Data Scientist
Hybrid, NYC
$100-130k 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.
We are seeking a highly skilled Sr. Data Scientist with strong expertise in causal inference, experimentation, predictive modeling, and advanced analytics. The role will focus on developing data-driven solutions to understand customer or business behavior, identify incremental impact, optimize targeting strategies, and measure the effectiveness of business interventions.
The ideal candidate will have a strong foundation in statistical modeling and experimental design, with the ability to translate complex analytical findings into actionable business recommendations. The role requires experience working with large datasets, developing scalable analytical solutions, and partnering with cross-functional stakeholders to solve complex business problems.
Key Responsibilities
- Apply causal inference methods—including propensity score matching, difference-in-differences, synthetic controls, and randomized or quasi-experimental designs—to quantify business impact
- Build predictive, uplift, and treatment-effect models to improve targeting, prioritization, and resource allocation
- Design and analyze A/B tests, including sample sizing, control and treatment groups, statistical testing, and segment-level effects
- Analyze large datasets, develop reproducible analytical frameworks, and collaborate on scalable data pipelines
- Partner with cross-functional teams and communicate findings, recommendations, and business impact to technical and non-technical stakeholders
Success Measures
- Deliver reliable, scalable models and experiments that quantify incremental impact and improve business decisions
- Optimize targeting and resource allocation through statistically rigorous analysis
- Clearly communicate insights and recommendations across business and technical teams
Required Qualifications
- Bachelor’s or Master’s degree in a quantitative field and 4+ years of relevant data science or advanced analytics experience
- Strong knowledge of causal inference, experimental design, statistical testing, regression, sampling, confidence intervals, and power analysis
- Hands-on experience with predictive, uplift, or treatment-effect modeling and machine learning evaluation
- Proficiency in Python, SQL & GCP
- Strong problem-solving, stakeholder management, and communication skills
Preferred Qualifications
- Experience applying causal inference and experimentation in a business setting
- Familiarity with cloud data platforms, modeling libraries, experimentation tools, and model deployment or monitoring
Skills Required
- Bachelor's or Master's degree in a quantitative field
- 4+ years of relevant data science or advanced analytics experience
- Strong knowledge of causal inference, experimental design, statistical testing, regression, sampling, confidence intervals, and power analysis
- Hands-on experience with predictive, uplift, or treatment-effect modeling and machine learning evaluation
- Proficiency in Python, SQL, and GCP
- Strong problem-solving, stakeholder management, and communication skills
- Experience applying causal inference and experimentation in a business setting
- Familiarity with cloud data platforms, modeling libraries, experimentation tools, and model deployment or monitoring
What We Do
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.
