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Tier-1 brand, metro Bangalore location, and mid-level generalist ML role increase candidate competition.
ML skills transfer broadly, but sales-forecasting domain expertise increases industry fit sensitivity to medium.
Explicit minimum three years and domain-specific ML forecasting expectations create moderate shortlisting rigor.
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Design, build, deploy, and maintain scalable demand forecasting models at SKU, category, channel, and regional levels.
Own the full machine learning lifecycle including data exploration, feature engineering, model training, deployment, and monitoring for sales forecasting and discount simulation.
Collaborate cross-functionally to integrate data science solutions into enterprise systems and present insights to senior stakeholders for strategic decision-making.
Bachelor's or Master's degree in Computer Science, Econometrics, AI, Applied Mathematics, Statistics or equivalent.
Minimum 3 years experience in Data Analytics, Data Science, AI, or related fields.
Experience with time-series forecasting, machine learning modeling, advanced data processing, and deployment of ML solutions.
Onsite role requiring full-time presence at company facilities minimum 3 days per week.
Experienced in end-to-end ML lifecycle management and scalable deployment in an enterprise environment.
Skilled in complex data analysis, statistical methods, and advanced machine learning techniques applied to sales and demand forecasting.
Able to translate advanced analytical insights into actionable business strategies and work effectively with IT, data engineering, and business teams.