Where we work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

About your skills

• Problem solving with orientation towards action: You’re a data scientist who’s passionate about turning raw data into meaningful insight and action. You know that great analysis doesn’t just explain what happened; it helps people understand why it matters and what to do next.

• Confidence working with big data: You’re fluent in SQL, Python and Tableau, and comfortable navigating ambiguous business problems.

• Storytelling: You’re equal parts technical and communicative, and the intersection of data science and storytelling excites you. You enjoy mining data for actionable insights, uncovering patterns in behavior that drive business outcomes, and presenting your findings to senior leaders.

• Organizational agility: You thrive in cross-functional environments, especially when working closely with Marketing, Product, Growth and Finance teams. You’re curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight.

About this role

The Staff Data Scientist, Consumer Business Analytics will play a key role in supporting Udemy’s consumer (i.e., non-enterprise) learners. This role, which is part of Udemy’s Strategic Business Analytics organization, will partner closely with our GM of Consumer, as well as product, marketing and finance leaders, to drive profitable top-line growth for Udemy’s Consumer business.

You’ll blend data science techniques with strong business acumen and communication skills to proactively identify drivers of consumer revenue performance, acquisition and retention of buyer cohorts, and overall engagement patterns (e.g., what types of content result in increased learning and repeat purchase rates) – all in service of informing strategic decisions. This is a highly visible role that sits at the intersection of analytics, strategy, marketing and product.

What you’ll be doing

Data-Driven Consumer Strategy:

• Partner with Udemy’s Consumer GM, Marketing and Product leadership to deliver compelling, data-informed insights that help inform our tactics/strategies for accelerating consumer acquisition and growing consumer LTV through increasing engagement.

• Support customer segmentation efforts using behavioral and transactional data to inform marketing, product, and personalization strategies.

• Build executive-level data visualizations to track consumer performance (e.g., revenue and its component driver, cohort-level trends, LTV, content consumption, adoption of individual product features including Udemy’s subscription offering, etc.)

Proactive Insights & Signals:

• Analyze revenue growth drivers by geographic market, channel, product solution, and customer segment to identify opportunities for optimization.

• Design and implement proactive alerting tools (e.g., using Tableau) to surface leading indicators of consumer revenue drivers and inform financial forecasts.

• Partner with Finance to help maintain forecasting models for key business metrics (e.g., revenue, traffic, conversions, churn) that are used in planning and investment decisions.

• Leverage behavioral data to identify patterns and trends that inform marketing tactics, product design/experimentation, and consumer lifecycle planning.

Analytics Innovation:

• Develop new methods for measuring customer value and learning impact, grounded in data science best practices.

• Use advanced analytics techniques (e.g., clustering, regression) to uncover insights that shape how we serve consumer learners.

Collaboration & Scale:

• Translate open-ended business questions into structured analyses and actionable recommendations.

• Support a wide range of self-directed projects and stakeholder requests while identifying repeatable processes that can be operationalized or scaled through automation and/or expanded reporting.

• Collaborate with cross-functional teams, including Marketing, Product, Finance, other Data Science Teams, and Analytics Engineering, to improve data pipelines and accessibility.

What you’ll have

• 5–7 years of experience in a data science or analytics role, ideally with experience in customer insights.

• Expert-level SQL skills; experience with Databricks or similar cloud data warehouses, comfort combining data from various sources into cohesive models

• Experience utilizing Python or other scripting languages.

• Proficiency in data visualization tools, ideally Tableau, with a strong eye for visual storytelling and usability.

• Experience applying predictive modeling, segmentation, and statistical analysis to support business decision-making. Your data science toolkit includes a range of analytical approaches, frameworks and technical solutions to draw from.

• Excellent communication and storytelling skills; capable of independently developing executive-ready presentation materials and presenting insights with confidence.

• A proactive mindset, strong ownership, and a collaborative approach to working across teams.

• Comfort balancing competing priorities and working in a fast-paced environment.