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Tier-1 brand, popular mid-level data role in Bangalore with hybrid setup and broad tool requirements.
Core data science skills transferable but supply-chain domain knowledge raises industry specificity.
Explicit 2–3 years, required analytics tools and supply-chain domain knowledge increase screening rigidity.
Define analytic objectives and develop models that support business solutions, validating their performance post-implementation.
Prepare and maintain metadata, conduct exploratory data analysis (EDA) and hypothesis testing to support data science outcomes.
Create visualizations to communicate model insights clearly and contribute to measuring business performance based on deployed models.
Master's degree in Statistics, Operations Research, Computer Science or equivalent preferred; or Bachelor's degree with 2-3 years relevant experience.
Proficiency in analytics software such as R, Python, SAS, SQL for model building and deployment.
Experience with Docker, GitHub, and coding IDE platforms.
Work Experience Required: 2-3 years relevant experience if Bachelor’s degree holder.
Experience in applying data science methodologies including regression, neural networks, decision trees (CHAID, CART), association rules, cluster analysis, and text mining.
Knowledge of supply chain business requirements and ability to translate them into mathematical models.
Capability in creating effective visualizations and working across geographic boundaries, using tools like Tableau and Python.