Senior Data Scientist — Supply Chain Forecasting & Demand Sensing

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.

• Depth in me-series forecasting (ideally demand sensing) — evaluation backtesting failure modes.

• Feature engineering & multi variate/causal modelling with point-in-me correctness.

• Command of the DS lifecycle as a repeatable framework not one-off notebooks.

• Supply chain / demand-planning domain (retail manufacturing or logis cs).

• Strong Python & SQL; solid software-engineering habits.

• Current AI/ML engineering — MLOps monitoring explainability GenAI/LLM landscape.

• Businessmodeling translation and strong stakeholder communication.

Required Skills:

Time-series demand forecasting Demand sensing Feature engineering Multivariate modelling Causal modelling Statistical methods ARIMA ETS Machine Learning LightGBM XGBoost Deep learning Probabilistic methods Exploratory Data Analysis (EDA) Model validation Model deployment Model monitoring Explainability SHAP Data contracts Python SQL Software engineering MLOps Explainability GenAI Large Language Models (LLM) Stakeholder communication Business-modeling translation Supply chain domain knowledge Demand planning Retail Manufacturing Logistics