Staff Data Scientist, Consumer Business Analytics

About the Role

Key Responsibilities

• Partner with Udemy's Consumer GM, Marketing and Product leadership to deliver data-informed insights for consumer acquisition and engagement strategies.
• Support customer segmentation efforts using behavioral and transactional data.
• Build executive-level data visualizations to track consumer performance metrics such as revenue, cohort trends, LTV, content consumption, and feature adoption.
• Analyze revenue growth drivers by geographic market, channel, product solution, and customer segment to identify optimization opportunities.
• Design and implement proactive alerting tools to surface leading indicators of revenue drivers and inform forecasts.
• Partner with Finance to maintain forecasting models for key business metrics like revenue, traffic, conversions, and churn.
• Leverage behavioral data to identify patterns and trends for marketing tactics, product design, and lifecycle planning.
• Develop new methods for measuring customer value and learning impact using data science best practices.
• Use advanced analytics techniques (e.g., clustering, regression) to uncover insights for serving consumer learners.
• Translate open-ended business questions into structured analyses and actionable recommendations.
• Support self-directed projects and stakeholder requests, identifying processes for automation or expanded reporting.
• Collaborate with cross-functional teams including Marketing, Product, Finance, Data Science, and Analytics Engineering to improve data pipelines and accessibility.

Requirements

• 5-7 years of experience in a data science or analytics role, ideally with customer insights experience.
• Expert-level SQL skills; experience with Databricks or similar cloud data warehouses.
• Experience utilizing Python or other scripting languages.
• Proficiency in data visualization tools, ideally Tableau.
• Experience applying predictive modeling, segmentation, and statistical analysis to support business decisions.
• Excellent communication and storytelling skills, capable of developing and presenting executive-ready insights.
• A proactive mindset, strong ownership, and a collaborative approach.
• Comfort with balancing competing priorities in a fast-paced environment.

Nice to Have

• Experience with combining data from various sources into cohesive models.