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Tier-1 brand, popular Data Scientist title, metro location, and broad skillset increase applicant competition.
Machine-learning and tooling skills are transferable across industries, giving moderate background sensitivity.
Explicit 2–3 year requirement plus advanced ML methodologies and specific tooling makes shortlisting highly strict.
Define analytics solution objectives and technical requirements aligned to user needs and business processes.
Develop, enhance, and embed analytic models into operational systems, collaborating with Application Developers to measure business performance.
Communicate complex analytics solutions and insights to stakeholders using visual models and best practices.
PhD in Statistics, Operations Research, Computer Science preferred; alternatively Master’s degree with 2-3 years relevant experience.
Must have advanced skills in data science methodologies (regression, neural nets, clustering, text mining) and analytics software (R, SAS, SPSS, Python).
Experience with advanced machine learning, data integration, ETL tools (Informatica, Ab Initio, Talend), and data visualization tools (Spotfire, Tableau, Qlikview).
Role is onsite at HPE office; Work Experience Required: At least 2-3 years with Master’s, not explicitly mentioned beyond.
Experienced in translating business requirements into mathematical and machine learning models for measurable business outcomes.
Operates well in cross-functional teams integrating analytic models into business processes and working across geographic boundaries.
Demonstrates strong communication skills to explain complex analytics and delivers business-focused insights effectively.