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High—Tier-1 brand, generic Data Scientist title, mid-level experience, Bangalore metro, broad skill requirements.
Medium—advanced analytics skills transfer across industries, but customer-support and omnichannel specifics add domain bias.
High due to explicit 5-7 years requirement and specific ML, statistical, and data platform skills.
Own advanced data analysis and develop measurement dashboards to optimize statistical efficiency and quality for digital experience and automation.
Collaborate with cross-functional teams and data engineering to design scalable data models and AI-driven tools that enhance customer journey insights and business decisions.
Lead process improvements through trend discovery, experimentation analysis, and creating frameworks for performance and impact monitoring.
Master’s or PhD in business administration, economics, computer science, MIS, or related field.
5 to 7+ years of experience in Data Science, Machine Learning, or applied research in measurement frameworks or systems.
Experience with data models, ETL pipelines, Python programming, machine learning models, and advanced dashboarding (Power BI).
Hybrid work model requiring approximately 2 days per week onsite at HPE office.
Experienced in statistical modeling, experimental design, and customer journey analytics with a strong focus on business impact measurement.
Proven ability to collaborate with technical and business teams to build scalable data solutions and communicate findings to diverse audiences.
Strong domain knowledge in AI-driven digital experience, omnichannel analytics, and process optimization in customer support or related fields.