Data Scientist

Overview

Hybrid Data Scientist role on HPE’s Networking Digital Experience & Automation (DEA) team, focused on using AI and data to improve customer support and service experiences.

What you'll do

• Interpret data and apply statistical techniques to produce advanced measurement dashboards.
• Develop data collection systems and analytics strategies to improve statistical efficiency and quality.
• Identify trends and patterns in complex data sets and define success metrics for model quality, engagement, and business outcomes.
• Create long-term monitoring frameworks to track feature adoption, performance drift, and business impact.
• Use clustering, segmentation, and anomaly detection to discover patterns across customer journeys.
• Build data solutions with cross-functional teams and provide consulting/analytics to leadership.
• Design Power BI dashboards and educate/train stakeholders and junior data scientists.

What you'll need

• Master’s or PhD degree in business administration, economics, computer science, management information systems, or related field (or equivalent experience).
• Overall 5–7+ years of experience in Data Science, Machine Learning, or applied research of measurement frameworks/systems.
• Experience with generative AI, RAG, and multi-turn evaluation.
• Strong understanding of data models, ETL pipelines, Python, and machine learning for measuring efficacy.
• Knowledge of statistics and experience with statistical packages (significance tests, sampling strategies, power analysis, regression, exploratory data analysis).
• Experience with customer support data, conversational AI logs, and omnichannel analytics (higher order Markov chain and hazard models preferred).
• Experience with Snowflake & Databricks, including creating metrics views and connections to Power BI (preferred).