Data Science Lead

Must-Have Qualifications

Strong foundation in econometrics and time series analysis (this is critical for the role).

Hands-on experience with:

Time series models (ARIMA, SARIMA, VAR, forecasting techniques)

Econometric methods (WLS, regression diagnostics, panel data models)

Causal inference (A/B testing, quasi-experimental methods)

Bayesian statistics and probabilistic modeling

Markov chains or stochastic modeling

Proficiency in Python along with SQL .

Experience working with Databricks or similar big data platforms .

Ability to clearly communicate complex statistical concepts to non-technical stakeholders.

Secondary / Good-to-Have Skills (General Data Science)

Experience with machine learning models (classification, regression, tree-based models, etc.)

Familiarity with feature engineering, model validation, and performance tuning

Exposure to ML pipelines and MLOps concepts