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Tier-1 employer, Bangalore location, generalist Data Scientist title and broad skills drive high competition.
Strong data science skills transferable, but supply-chain domain requirement raises industry specificity.
Explicit 2–3 year requirement plus supply-chain domain knowledge and specific tools (Python, R, Docker) increase strictness.
Define analytic objectives and formulate corresponding business rules using available data.
Develop, validate, and maintain predictive models that support business solutions and measure business performance.
Create visualizations to communicate model insights clearly to stakeholders.
Master’s degree preferred in Statistics, Operations Research, Computer Science or equivalent; alternatively, Bachelor’s degree plus 2-3 years relevant experience.
Proficiency in data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
Strong skills in analytics software such as R, Python, SAS, SQL and familiarity with Docker, GitHub, and coding IDEs.
Work Experience Required: 2-3 years with a Bachelor’s degree; Hybrid work mode with 2 days per week onsite at HPE office.
Experience applying data science to supply chain business requirements, translating them into mathematical models.
Capability to measure and enhance model performance post-deployment, including leading model enhancements if necessary.
Skilled in communicating complex analytics through effective visualizations using Tableau or Python, and working collaboratively across geography.