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Tier-1 brand, mid-level generalist role, metro location, and broad skills make competition high.
Conversational AI and customer-support analytics focus makes cross-industry transferability moderate.
Requires advanced degree, 5–7 years, and specific ML, statistics, and platform skills.
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Develop and implement data analytics systems and dashboards to optimize efficiency and quality of support experiences.
Analyze complex data sets using advanced machine learning and statistical techniques to identify trends, patterns, and performance metrics for business impact.
Collaborate with cross-functional teams including Data Engineering to build scalable data models and deliver actionable insights that improve digital support and customer journey outcomes.
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 in measurement frameworks or systems.
Strong statistical knowledge and experience with advanced machine learning techniques (clustering, regression, model calibration), data modeling, ETL pipelines, and Python programming.
Hybrid work model with 2 days per week onsite at HPE office; experience with Power BI, Snowflake, and Databricks preferred but not explicitly mandatory.
Experienced in working with customer support data, conversational AI logs, omnichannel analytics, and advanced user behavior modeling.
Able to design and run experiments including surveys and control/test groups, focusing on bias correction and measurement accuracy.
Capable of partnering effectively with technical and business teams to translate complex data insights into impactful business decisions and continuous process improvements.