Sr. Data Scientist – Causal Modeling & Experimentation

EXL Talent Acquisition Team; Jersey City (NJ); Hybrid; USD 100,000 - 130,000; Full time

Job summary

EXL Talent Acquisition Team is seeking a Senior Data Scientist for a hybrid NYC role to advance causal inference, experimentation, predictive modeling and advanced analytics. You will build data-driven solutions to understand customer and business behavior, identify incremental impact, optimize targeting, and measure the effectiveness of interventions.

The ideal candidate has a strong foundation in statistical modeling and experimental design, and can translate complex findings into actionable

Qualifications

• Causal inference, experimentation, predictive modeling, and advanced analytics are core strengths of the candidate.
• Strong foundation in statistical modeling and experimental design with ability to translate results into business impact.
• Experience with large datasets and scalable analytical solutions, collaborating with cross-functional stakeholders.

Responsibilities

• Develop data-driven solutions to understand customer or business behavior and measure impact.
• Identify incremental impact and optimize targeting strategies across initiatives.
• Partner with cross-functional teams to translate analytical findings into actionable business recommendations.

Skills

Causal inference

Experimental design

Predictive modeling

Advanced analytics

Statistical modeling

Big data

Cross-functional collaboration

Job description

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.