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Tier-1 brand, metro Bangalore, popular Data Scientist title, mid-level experience, and broad technical requirements.
Core data science skills are transferable but supply-chain domain knowledge raises fit sensitivity.
Explicit 2–3 year requirement plus mandatory tools and supply-chain domain knowledge increases filtering.
Define analytic objectives based on business needs and develop models that contribute to solutions and measure business performance.
Prepare and perform exploratory data analysis, build and validate models, and lead model enhancements if necessary.
Create visualizations of model insights and assist in delivering data science solutions within the supply chain domain.
Master's degree in Statistics, Operations Research, Computer Science or equivalent preferred; or Bachelor's degree with 2-3 years relevant experience.
Proficiency in data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, text mining.
Strong skills in analytics software such as R, Python, SAS, SQL; experience with Docker, GitHub, and coding IDEs.
Understanding of supply chain business requirements and ability to translate them into mathematical models.
Experience operating within supply chain business contexts to align data science objectives with real-world problems.
Able to independently develop, validate, and enhance analytic models that directly impact business performance measurement.
Skilled in communicating complex model insights through visualization and storytelling to facilitate business decision-making.