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Tier‑1 employer, metro Bengaluru, popular mid‑level Data Scientist title, and broad skill requirements increase competition.
Core ML and statistical skills transfer across industries, though customer‑support domain experience is preferred.
Explicit 5–7 years requirement and master's/PhD plus specialized ML/statistics demands stricter filtering.
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Develop and implement advanced data analytics, statistical techniques, and machine learning models to optimize business and customer support outcomes.
Design and maintain measurement frameworks to monitor feature adoption, model performance, and business impact over time.
Collaborate cross-functionally with data engineering, management, and business teams to deliver scalable data solutions and data-driven insights through dashboards and visualizations.
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 related to measurement frameworks or systems.
Experience with statistical modeling, machine learning algorithms (clustering, regression, dimensionality reduction), and advanced dashboarding (Power BI).
Hybrid working model requiring approximately 2 days per week onsite at an HPE office; experience with Snowflake, Databricks, Python programming, and working with customer support and conversational AI data preferred.
Experienced practitioner blending data science and statistical rigor to drive business decision-making in customer experience or support domains.
Comfortable working collaboratively across technical and non-technical stakeholders to translate complex data insights into actionable outcomes.
Skilled in building scalable data products and measurement systems integrating AI, automation, and advanced analytics in a dynamic, fast-paced environment.