Staff Data Scientist, Strategic Accounts Analytics

About the Role

Key Responsibilities

• Partner with Customer Success Managers (CSMs) and Account Executives (AEs) to deliver data-informed insights that help customers realize the full value of Udemy Business.
• Meet directly with strategic customers to understand their learning goals and design analyses that align with their business outcomes. (~10% of time for this role will be customer-facing, with occasional travel required.)
• Build executive-level data visualizations for customer Executive Business Reviews (EBRs) and strategic touchpoints.
• Design and implement proactive alerting tools to surface leading indicators of expansion potential or engagement risk.
• Leverage behavioral data to identify patterns and trends that inform account strategy and customer lifecycle planning.
• Develop new methods for measuring customer value and learning impact, grounded in data science best practices.
• Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve strategic accounts.
• Translate open-ended business questions into structured analyses and actionable recommendations.
• Support a wide range of customer requests while identifying themes that can be operationalized or scaled across accounts.
• Collaborate with cross-functional teams, including Product, Revenue Operations, and Data Engineering, to improve data pipelines and access.

Requirements

• 7+ years of experience in a data science or analytics role, ideally in B2B SaaS or GTM analytics (Customer Success, Sales, RevOps).
• Expert-level SQL skills; experience with Databricks or similar cloud data warehouses.
• Proficiency in data visualization tools, particularly Tableau, with a strong eye for visual storytelling and usability.
• Strong communication and storytelling skills; ability to meet with customers and internal stakeholders to present insights with confidence.
• Experience with predictive modeling, segmentation, or statistical analysis to support business decision-making is a plus.
• Familiarity with Python or other scripting languages is a plus.
• Bachelor's or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
• A proactive mindset, strong ownership, and a collaborative approach to working across teams.

Nice to Have

• Experience with predictive modeling, segmentation, or statistical analysis to support business decision-making.
• Familiarity with Python or other scripting languages.