Data Scientist - Developer Tools (London, United Kingdom)
Role details
Job location
Tech stack
Job description
We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company-from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with collaborators, and build the future of our products and business.
The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative approach to guide decision-making and unlock growth opportunities. You'll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.
This is a full-time role that can be held from one of our London Hub or UK remotely. What You'll Do at Figma:
- Partner with teams across departments to set and assess metrics, conduct experiments, and reveal insights that shape strategic decisions
- Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
- Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
- Own complex data projects end-to-end-from problem scoping to solution delivery
- Champion data quality, accessibility, and the democratization of data across the organization
- Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact, * Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
Requirements
- 5+ years of experience in Analytics, Data Science, or a related field
- Fluency in SQL and proficiency in a scripting language like Python or R
- Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
- Strong foundation in statistical methods, experimentation, and/or forecasting
- A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
- Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
While it's not required, it's an added plus if you also have:
- A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments