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