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Tier-1 brand, generalist data scientist role, and Bengaluru location increase applicant competition.
Supply-chain domain knowledge plus ML skills makes background moderately industry-specific.
Explicit 2-3 years and required ML methodologies increase filtering but tools are flexible.
Develop, enhance, and maintain analytic models based on structured and unstructured data to generate actionable business insights.
Build, validate, and deploy data science models supporting business performance measurement and supply chain optimization.
Create visualizations for model insights and collaborate on embedding analytics into business processes.
Master's degree in Statistics, Operations Research, Computer Science, or equivalent preferred; or Bachelor's plus 2-3 years relevant experience.
Working knowledge of data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
Proficiency in analytics software such as R, Python, SAS, SQL for model building and deployment.
Hybrid work model requiring approximately 2 days per week onsite at HPE office.
Experience translating supply chain business requirements into mathematical models and data science solutions.
Skilled in coding and version control tools including Docker, GitHub, and coding IDEs.
Able to communicate analytic results effectively using visualization tools like Tableau or Python for non-technical stakeholders.