Staff Data Scientist, Strategic Accounts Analytics

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

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. You’re fluent in SQL and Tableau, and comfortable navigating ambiguous business problems. You thrive in cross-functional environments, especially when working closely with Sales and Customer Success teams. You’re equal parts technical and communicative, and the intersection of data science and storytelling excites you.  You enjoy being customer-facing, and you’re energized by uncovering patterns in behavior that drive real outcomes for customers. You’re curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight.

About this role

The Data Scientist, Strategic Accounts Analytics will play a key role in supporting Udemy’s highest-value enterprise customers and prospects. This role partners closely with Strategic Customer Success Managers (CSMs) and Account Executives (AEs) to craft data narratives that demonstrate value, fuel expansion, and drive measurable outcomes for our customers.

You’ll blend data science techniques with strong business acumen and communication skills to proactively identify opportunities and risks, create tailored analytics for top accounts, and influence strategic decisions. This is a highly visible, customer-facing role that sits at the intersection of analytics, customer strategy, and revenue growth.

What you'll be doing

Data-Driven Customer Strategy:

• Partner with CSMs and AEs to deliver compelling, 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. Note, ~10% of time for this role will be customer-facing, with occasional travel required.

• Build executive-level data visualizations for customer EBRs and strategic touchpoints. 

Proactive Insights & Signals:

• 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. 

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, forecasting) to uncover insights that shape how we serve strategic accounts. 

Collaboration & Scale:

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

• Support a wide range of customer requests while identifying repeatable 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.

What you’ll have

• 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.