Sr. Data Scientist – Causal Modeling & Experimentation

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

Job summary

EXL is seeking a Senior Data Scientist for a hybrid role based in the NYC area. The position combines in-office collaboration with flexible work arrangements.

You will design causal inference models, run experiments, and build predictive analytics to understand customer behavior and drive business impact.

We value experience with large datasets, scalable analytical solutions, and the ability to partner with cross-functional teams to translate insights into action.

Qualifications

• Strong foundation in statistical modeling and experimental design.
• Experience handling large datasets and building scalable analytical solutions.
• Ability to translate analytical findings into actionable business recommendations.

Responsibilities

• Develop data-driven solutions to understand customer or business behavior.
• Identify incremental impact and optimize targeting strategies.
• Measure the effectiveness of business interventions.

Skills

Causal inference

Experimentation

Predictive modeling

Advanced analytics

Statistical modeling

Experiment design

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.