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Staff Data Scientist – Strategic Accounts Analytics
| Company | Udemy |
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| Location | Denver, CO, USA |
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| Salary | $150000 – $187000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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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
- 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
Responsibilities
- 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
- Build executive-level data visualizations for customer 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 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
Preferred Qualifications
- 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
