Back
Tier-1 brand, metro location, and a mid-level generalist ML role create high applicant density.
Core ML forecasting skills are transferable, but sales-forecasting domain expertise increases fit sensitivity.
Explicit three-year minimum and required end-to-end ML experience create moderately strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy scalable demand forecasting models at SKU, category, channel, and regional levels.
Develop discount and price simulation tools to optimize discount strategies and maximize margin.
Own the full ML lifecycle including data exploration, feature engineering, model training, deployment, monitoring, and iteration.
Bachelor's or Master's degree in Computer Science, Econometrics, AI, Applied Mathematics, Statistics, or equivalent.
Minimum 3 years of experience in Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition, or equivalent with a Bachelor's degree.
Experience with statistical programming software, business intelligence tools, and machine learning engineering fundamentals.
Office-based role requiring minimum 3 days per week onsite presence.
Experienced in handling multifaceted and high-dimensional data problems with rigorous validation and quality control.
Skilled in integrating and operationalizing data science solutions across cross-functional teams including IT and data engineering.
Capable of presenting complex data insights to senior stakeholders, influencing strategic business decisions.