Data Scientist, Core Data - PhD (2026)
Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.
About the job
What you'll do at Figma
- Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions
- Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques
- Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives
- Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously
- Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery
- Drive data quality, accessibility, and the democratization of data across the organization
We'd love to hear from you if you have
- PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning
- Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships
- Ability to communicate technical concepts clearly to both technical and non-technical audiences
- A curious and rigorous mindset, with a passion for translating research into real-world impact
While it's not required, it's an added plus if you also have
- Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems
- An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features
- A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments
Compensation
Annual Base Salary Range: $170,000—$178,000 USD (San Francisco or New York hubs; remote roles localized 80-100% of range)
Skills
SQL, Python, R, Snowflake, Machine Learning, Causal Inference, A/B Testing, Statistical Modeling, Experimentation, Llm Analytics
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