data
Posted 5 hours agoData Scientist, Marketing
at Figma
San Francisco, United StatesOn-site
Responsibilities
- Develop and own end-to-end measurement frameworks, attribution models, and channel-level evaluation tools to assess the impact of Figma's marketing investments across the full funnel and inform budget allocation
- Develop and apply statistical and machine learning models to solve key marketing challenges, including audience targeting, creative effectiveness, customer engagement, and campaign performance measurement
- Build dashboards, reporting frameworks, and analytical tools that help stakeholders understand brand performance and business impact
- Improve data quality, measurement infrastructure, and reporting capabilities to support a growing marketing organization — establishing standards and processes that scale with the business
Requirements
- Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.
- From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.
- We're looking for a Marketing Data Scientist to join Figma's Data Science team and drive how we measure and optimize the impact of our global brand investments.
- This is a unique opportunity to be the first dedicated Data Scientist supporting Brand Marketing at Figma.
- You'll work directly with senior marketing leaders to establish new measurement capabilities, solve complex business problems, and define the future of brand analytics at one of the world's most recognized software companies.
- experience in Data Science or Marketing Analytics, with a track record of supporting Marketing teams and measuring the impact of large-scale brand investments
- Advanced proficiency in SQL and
- experience using Python, R, or similar tools to conduct analysis and build scalable measurement solutions
- Proven ability to influence senior non-technical leaders and cross-functional teams by translating complex analyses into clear, actionable recommendations
- Experience with media mix modeling (MMM) or multi-touch attribution (MTA) methodologies Hands-on
- experience with marketing data platforms such as Segment, Amplitude, or similar tools •
- Experience working in a B2B SaaS or PLG environment