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Mid-level ML role in Bangalore with common Data Scientist skills and cloud requirements, high applicant competition.
Demand-forecasting and CPG shipment knowledge moderately limits cross-industry transferability.
Explicit 5+ years, domain forecasting expertise and mandatory Python/SQL/cloud create strict shortlisting filters.
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Develop and deploy advanced time-series and machine learning models to accurately predict retailer demand for multiple brands.
Collaborate with cross-functional teams and business users to identify and define demand forecasting problems and opportunities.
Provide regular updates on modeling progress and results to Product Owner and Data Science Lead.
Master's degree in Computer Science, Statistics, Mathematics, or related field.
Minimum 5 years of experience in predictive modeling, time-series, machine learning, and statistical modeling, specifically in demand forecasting.
Proficiency in Python and R including libraries like scikit-learn; proficiency in SQL and relational databases.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experienced in building demand forecast models in a production environment driving operational value.
Strong analytical and problem-solving skills focused on complex business challenges in demand forecasting.
Ability to work effectively in fast-paced, collaborative environments with cross-functional teams.