Senior Data Scientist-Causal Modeling

We are looking for a highly skilled Data Scientist /Sr Data Scientist / Lead Data Scientist with expertise in Causal Modeling to join our analytics team.

The ideal candidate will have strong statistical and econometric foundations, hands-on experience in designing and implementing causal inference methods, and the ability to derive business insights that influence strategic decisions.
Key Responsibilities
Design and implement causal inference frameworks to measure the true impact of business initiatives, marketing campaigns, and product interventions.
Apply methods such as propensity score matching, instrumental variables, difference-in-differences, regression discontinuity, uplift modeling, and causal graphs .
Build and validate robust statistical and machine learning models to support experimentation (A/B testing, quasi-experiments).
Partner with cross-functional teams (product, marketing, operations, data engineering) to define problems, frame hypotheses, and deliver actionable insights.
Develop scalable analytical pipelines and dashboards for causal impact monitoring.
Stay up to date with advances in econometrics, Bayesian methods, and causal ML techniques .
Required Skills & Qualifications
Masters or PhD in Statistics, Econometrics, Computer Science, Mathematics, Economics, or a related field .
3–10 years of experience as a Data Scientist / Quantitative Researcher / Econometrician .
Strong knowledge of causal inference methods and experimental design .
Proficiency in Python / R / SQL for data manipulation, statistical modeling, and visualization.
Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) is a plus.
Strong analytical mindset with the ability to translate complex results into clear business recommendations.
Good to Have
Experience in forecasting, recommendation systems, or optimization .
Exposure to big data tools (Spark, Snowflake, Databricks, etc.).
Publications or applied research in causal inference or related fields.
Role: Data Scientist
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Any Specialization
PG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization