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Strong employer brand, mid-level Data Scientist title, metro Bengaluru location, and broad required skillset drive high competition.
Medium because core ML and statistics skills are transferable, but conversational-support and customer-journey expertise raise domain specificity.
Explicit 5-7 years, strong ML/statistics requirements and specific platform experience (Snowflake/Databricks/Power BI) increase strictness to high.
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Develop and implement advanced data analytics and measurement dashboards to optimize performance in networking support and services.
Analyze complex data sets to identify trends, customer journey patterns, and business impact, applying machine learning models and statistical techniques.
Collaborate with cross-functional teams including Data Engineering to design scalable data solutions and communicate findings via advanced visualizations and Power BI dashboards.
Master’s or PhD degree in business administration, economics, computer science, management information systems, or related field or equivalent experience.
5-7+ years experience in Data Science, Machine Learning, or Applied Research with measurement frameworks or systems.
Experience with statistical modeling, data mining, machine learning algorithms, Python programming, and advanced dashboarding.
Hybrid work mode requiring average 2 days per week onsite at HPE office.
Experienced in working with customer support data, conversational AI logs, omnichannel analytics, and applying corrective statistical sampling strategies.
Ability to collaborate effectively with engineering and business teams to translate data insights into business impact.
Skilled in creating scalable, interpretable data models and dashboards for both technical and non-technical stakeholders in an enterprise environment.