Senior Data Scientist: Causal Inference & Experiments

EXL; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

EXL in New York is seeking a Sr. Data Scientist to drive causal inference, experimentation, and predictive modeling. You will handle large datasets, develop scalable solutions, and partner with cross-functional teams across the business to translate analyses into actionable recommendations.

The role emphasizes building models for targeting and optimization, communicating insights clearly to stakeholders, and delivering impact through rigorous analytics in a fast-paced environment.

Qualifications

• Requires a Bachelor’s or Master’s degree in a quantitative field.
• 4+ years of data science or advanced analytics experience.
• Strong knowledge of causal inference, experimental design, and statistical testing.

Responsibilities

• Apply causal inference methods to quantify business impact.
• Build predictive uplift and treatment‑effect models to improve targeting.
• Design and analyze A/B tests and experiment plans.
• Analyze large datasets and develop scalable analytical frameworks.
• Partner with cross‑functional teams to communicate findings to technical and non‑technical audiences.

Skills

Causal inference

Experimental design

Predictive modeling

Machine learning

Python

SQL

GCP

Communication

Stakeholder management

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Python

SQL

GCP

Job description

EXL in New York is seeking a Sr. Data Scientist to drive causal inference, experimentation, and predictive modeling. You will handle large datasets, develop scalable solutions, and partner with cross-functional teams across the business to translate analyses into actionable recommendations.

The role emphasizes building models for targeting and optimization, communicating insights clearly to stakeholders, and delivering impact through rigorous analytics in a fast-paced environment.