Role: Senior Data Scientist — Supply Chain Forecasting & Demand Sensing
Experience: 5 years
Location: Bangalore India (Hybrid)
We are sseeking a Senior Data Scientist to own demand forecasting and demand sensing end to end and turn forecasts into decisions the business acts on — working at the intersection of me-series forecasting modern AI/ML engineering and decision opmization. It is a hands-on role owning the full data science lifecycle: you scope the problem engineer the features build and validate the models and ship them to production.
WHAT YOU'LL OWN
• Time-series demand forecasting across products locations and horizons — capturing price promotions calendar/events seasonality weather effects etc.
• Demand sensing — short-horizon models fusing near-real-me signals (POS/sell-through orders shipments inventory weather market signals) to catch near-term shifts and blend with the baseline forecast.
• Feature engineering & multi variate modelling — leakage-free feature pipelines and multi variate/causal models capturing driver interactions and cannibalization/halo effects.
• The forecasting toolkit — statistical (ARIMA/ETS) ML (LightGBM/XGBoost) and deep-learning or probabilistic methods — choosing the right method for the problem not the newest.
• The end-to-end DS lifecycle — framing EDA feature engineering validation deployment monitoring and explainability (SHAP) as a reproducible framework.
• Decisions & integration — translate forecasts into inventory replenishment fulfilment and capacity actions; own the data contracts into the planning systems; and bring modern AI (LLMs/RAG/agents) to bear where it genuinely adds value.
Qualifications
• 5 years applied DS delivering models used in production.