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