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Tier-1 brand, metro Bangalore location, mid-level (3 years), and popular ML title increase candidate competition.
Requires ML and sales-forecasting domain knowledge, but skills are reasonably transferable across industries.
Explicit 3-year minimum plus end-to-end ML lifecycle and deployment requirements tighten screening.
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Design, build, and deploy scalable demand forecasting and discount & price simulation models at SKU, category, channel, and regional levels.
Own the complete machine learning lifecycle including data exploration, feature engineering, model training, deployment, monitoring, and iteration.
Develop and maintain robust data pipelines, ensure data quality, and communicate complex data insights and strategic recommendations to senior stakeholders.
Bachelor's or Master's degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, or related field.
Minimum 3 years of relevant experience in Data Analytics, Data Science, Data Mining, Artificial Intelligence, or equivalent with a Bachelor's degree.
Proven ability to handle end-to-end ML model development and deployment, including time-series and ML-based forecasting techniques.
The role requires working onsite at the company's facilities at least 3 days per week.
Experienced in advanced machine learning techniques applied to complex, high-dimensional datasets for business forecasting and optimization.
Skilled in maintaining data quality, building scalable data pipelines, and integrating models with enterprise systems.
Able to translate complex analytics into clear business strategies and collaborate across cross-functional teams including IT and business units.