Back
Tier-1 employer, mid-level data scientist in Bengaluru with a common title and hybrid work draws strong applicant competition.
Specialized ML/statistics and customer‑support analytics needs moderate industry specificity.
Explicit 5–7 years, advanced ML/statistics and platform experience make screening fairly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead data analysis and statistical interpretation to develop advanced dashboards and measurement frameworks optimizing customer experience.
Collaborate cross-functionally with technology, engineering, and business teams to create scalable data solutions and automate processes for business transformation.
Develop and deploy machine learning models and data engineering strategies focusing on customer journey analytics, model calibration, and business impact evaluation.
Master’s or PhD degree in business administration, economics, computer science, management information systems, or related field or equivalent experience.
5-7+ years of experience in Data Science, Machine Learning, or Applied Research focusing on measurement frameworks or systems.
Experience with Generative AI, RAG, Statistical modelling, Data Mining, Reporting & Analytics, and Customer Journey models.
Hybrid work model requiring 2 days per week onsite at an HPE office.
Experienced in applying advanced machine learning methods including clustering, regression, model calibration, and survival analysis in customer analytics contexts.
Proficient working with data engineering teams, familiar with Snowflake and Databricks platforms, and creating business views for advanced analytics.
Able to design and communicate data-driven insights effectively through advanced Power BI dashboards for diverse stakeholders.