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Senior Data Scientist-Causal Modeling
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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
