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Tier‑1 employer, Bangalore location, and mid-level ML role attract dense applicant competition.
Requires ML and conversational-support domain knowledge, so skills are moderately transferable across industries.
Explicit 5-7 years, advanced ML/statistics, master's/PhD and platform skills create strict shortlisting filters.
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Develop and implement advanced statistical and machine learning models to analyze complex data sets and optimize business outcomes.
Collaborate with cross-functional teams and data engineering to design scalable data solutions, dashboards, and visualizations for decision making.
Identify and measure trends, customer journey patterns, and process improvements using AI-driven tools and predictive analytics frameworks.
Master’s or PhD degree in business administration, economics, computer science, management information systems, or related field.
5-7+ years of experience in Data Science, Machine Learning, or Applied Research of Measurement frameworks.
Experience with statistical modelling, data mining, customer journey models, and advanced dashboarding (Power BI).
Hybrid work model with requirement to work approximately 2 days per week at HPE office.
Strong expertise in statistical techniques including clustering, regression, survival models, and experiment design with bias correction.
Experience working with customer support data, conversational AI logs, and omnichannel analytics preferred.
Ability to operate in a complex, fast-paced environment collaborating cross-functionally and managing stakeholder expectations effectively.