Job Description Job Title: Lead / Senior Data Scientist -Retail Demand Forecasting
N nWhat you’ll do for us:
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Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks N
Develop and/or optimizemodels for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. N
Use latest advancementsin AI/ML to solve business problems N
Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons N
Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate current ones as needed. N
Develop or optimize modules to call web services for real time integration with externa systems N
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects N





n nWhat you’ll have:
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Experience: 3+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. N
Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. N
Should be from a statistical background. N
Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field N
Languages: Python and/or R for Data Science N
Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. N
Characteristics: Independent thinkers Solid presentati

📌 Lead/senior Data Scientist Bengaluru
🏢 o9 Solutions
📍 Bengaluru