Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. 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. If you're excited to shape the future of design and collaboration, join us! We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company. This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling. This is a full time role that can be held from one of our US hubs or remotely in the United States. 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 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $170,000—$178,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - 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. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

• From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. • You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions. • Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. • You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart. • Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration. • Create self-serve dashboards and data tools that empower your teams to answer their own questions. • Define and standardise metrics so everyone's working from the same source of truth. • Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise. • Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team.

Role Description As a Senior Data Scientist at MindBridge, your day-to-day activities may vary. The ideal candidate will work well within a team and with our client to ensure the projects are delivered to the highest quality and meeting client requirements. Above all, we are looking for someone with a great attitude, high energy, and focused on execution, continuous improvement, and accountability. A data scientist with a growth mindset who is excited by opportunities to learn will be successful in this role. What You Will Do - Work closely with the development team to deliver data science into MindBridge’s core product. - Deliver high-quality data science for strategic clients and capabilities. - Support junior data scientists by providing feedback and act as a sounding board on projects. - Develop and deliver new data science methods to support our key analytic goals. - Deepen their own skillset by keeping up-to-date on the latest innovations in data science and artificial intelligence. - Provide input and collaborate on the forward Data Science work programme. Qualifications - Have a MS/PhD in a quantitative discipline (Engineering, Physics, Mathematics, Statistics/Biostatistics, Machine Learning, Computer Science or similar) or an appropriate combination of education and experience. - Have 5+ years' experience using statistical analysis and machine learning models to translate data into actionable insights and recommendations. - Have technical leadership skills and are able to coordinate a data science project throughout its full life cycle. Requirements - Fulfill requirements necessary to obtain and clear a full background check. Benefits - 📈 Competitive Compensation and Equity - 🏠 Flexible Work – Hybrid or Remote - 🍏 Comprehensive health benefits and wellness programs - 📚 Professional development opportunities - 🌴 Flexible Time Off - 💰 Company Matched Retirement Plans - 🔕 Unplug and recharge - 4 company-wide digital detox days annually Company Description At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us.

• Lead the design of experimentation frameworks for contextual bandits • Develop and scale off-policy evaluation (OPE) methods to estimate model impact before live deployment • Act as the scientific consultant for the Presentation Pod, navigating the trade-offs between exploration and exploitation • Proactively identify and fix potential biases in experimentation pipelines (e.g., selection bias or feedback loops) • Provide technical guidance to junior analysts, fostering a culture of scientific rigor