406 Data Scientist jobs in San Francisco

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

• Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
• Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products.

Qualifications:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
• Ability to drive a projectand workbothindependently and in a cross-functional team.
• Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
• Excellent verbal and written communication.
• Ability to travel as needed

Preferred Qualifications:

• Experience with scalable ML (MapReduce, Spark).
• Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with reinforcement learning.
• A portfolio of projects (GitHub, papers, etc.).
• Experience working with modern IDEs and AI agent toolsas part of accelerated development workflows.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

• Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
• Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products.

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
• Ability to drive a project and work both independently and in a cross-functional team.
• Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
• Excellent verbal and written communication.
• Ability to travel as needed

• Experience with scalable ML (MapReduce, Spark).
• Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with reinforcement learning.
• A portfolio of projects (GitHub, papers, etc.).
• Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

You will:

• Help lead measurement initiatives; develop KPIs and learning plans for LiveRamp customers in support of their marketing objectives.

• Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers.

• Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various customer use cases and verticals.

• Consult and advise clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations.

• Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization.

• Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences.

• Speak and present both internally and externally, leveraging data to tell a story.

• Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration.

• Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships.

Your team will:

• Work closely with product and engineering teams to support and understand the cloud infrastructure that runs the models.

• Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.

• Help design new offerings in the analytical space.

About you:

• Bachelors with 3+ years of experience or Masters with 1+ years of experience.

• Strong command of probability and statistics.

• Fluency in data and statistical analysis using SQL and Python.

• Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.)

• Understanding of cloud platforms (AWS, GCP, etc.) and relational databases.

• Strong problem-solving skills.

• Attention to detail and time management, producing high quality, client-ready analytic deliverables across multiple projects and client engagements.

• Experience with ad-tech or curious about the ad-tech market and related measurement.

• Comfortable adapting to the latest tools and curious to explore industry best practices.

• Strong oral and written communication and organizational skills.

Preferred Skills:

• Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement.

• Excellent communication skills - the ability to work cross functionally, with internal and external stakeholders, to translate product requests into features and analysis into business objectives.

• Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models.

• Knowledge of Business Intelligence tools to build visualizations.

• High EQ.

The approximate annual base compensation range is $124,000 to $155,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.

Benefits:

• People: Work with talented, collaborative, and friendly people who love what they do.

• Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.

• Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.

• Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.

• Savings: Our 401K matching plan-1:1 match up to 6% of salary-helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)

• RampRemote:A comprehensive office equipment and ergonomics program-we provide you with equipment and tools to be your most productive self, no matter where you're located

More about us:

LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here ( to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents : Please see our California Personnel Privacy Policy ( for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies : LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

We are proud to be an equal employment opportunity and affirmative action employer. We believe in diversity and do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis of discrimination prohibited by law.

Remote 100% USA

As a Data Science Practitioner, you will be responsible for formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. You will measure and justify the value of AI and machine learning solutions. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across various teams. Advanced proficiency in Structured Query Language (SQL) is required. Advanced proficiency in Python (Programming Language) is recommended. Additionally, advanced proficiency in Data Science, Data & AI Strategy, and Data Analysis & Interpretation is suggested.

• Develop innovative AI and machine learning models that enhance decision-making processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing business frameworks.
• Conduct thorough analyses to assess the effectiveness of implemented AI strategies.
• Stay updated with the latest trends in data science and AI to continuously improve methodologies.
• Mentor junior team members to foster a culture of learning and development within the team.

Job Description

DATA SCIENTIST II

SAN FRANCISCO BAY AREA (HYBRID)

$160,000 – $190,000 BASE SALARY + EQUITY

ABOUT THE ROLE

We’re seeking a Data Scientist II to drive next- personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes.

KEY RESPONSIBILITIES

• Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day.
• Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality.
• Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability.
• Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy.
• Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions.

REQUIREMENTS

• 3+ years of applied data science or machine learning experience
• Proficient in Python and deep learning frameworks (PyTorch or TensorFlow)
• Hands-on with recommendation, ranking, or personalization models at consumer scale
• Skilled in working with high-volume data and deploying production ML systems
• Knowledge of full ML lifecycle: development through monitoring
• Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS)

Why Join

• You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

Locations - Austin, Texas or major Texas cities who are willing to travel to Austin once a month for team meetings. If not in Texas, you must be willing to relocate.

About the Team

The Data Analytics & Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives.

Data Scientist Responsibilities

• Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
• Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
• Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
• Define, implement, and train statistical, machine learning, deep learning and generative AI models.
• Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
• Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
• Active role in hiring, growing, and mentoring the data scientist team in Austin.

Examples of desirable skills, knowledge and experience

• M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
• 3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
• Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
• 2+ years experience with a fast-growing SaaS business based company is preferred.
• Strong experience in scientific computing using Python.
• Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc.
• Experience working with and processing structured, unstructured, and semi-structured data.
• Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
• Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
• Proficiency in large language models and the frameworks necessary for implementing GenAI applications, such as chatbots and related use cases.
• Strong communication and presentation skills catered to different audiences within the company.
• Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
• Experience in hiring data scientists and establishing team best practices is preferred.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend St. San Francisco, CA 94107.

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Visa U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Foster City, CA to:

1. Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
2. Apply data science techniques to our unique data to help our clients both innovate and solve problems.
3. Work with your data science colleagues as well as other teams across Visa to guide the critical thinking for our clients by using available data and tools.
4. Connect with clients as well as client teams regarding the results and strategic recommendations advised by your analyses.
5. Develop visualizations to make sophisticated analyses accessible to a broad audience.
6. Find opportunities to craft products out of analyses that are suitable for multiple clients.
7. Work with partners throughout the organization to explore opportunities for using Visa data to drive business solutions.
8. Position reports to the Foster City, California office and may allow for partial telecommuting.
9. Domestic travel required up to 5% of the time.

Basic Qualifications:

Employer will accept a Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Applied Analytics, Business Analytics, Computer Science, or a related field, and 2 years of experience in job offered or in a data scientist or analyst-related occupation.

Position requires experience in the following:

1. Extracting and aggregating data from large data sets using SQL/Hive or Spark;
2. Analyzing large data sets using programming languages such as Python, R, SQL or Spark;
3. Generating and visualizing data-based insights in software such as Tableau;
4. Communicating data-driven insights and conveying actionable recommendations;
5. Managing and organizing work in Office software such as Word, Excel, PowerPoint or Teams;
6. Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python; and
7. Data mining and statistical modeling like regression modeling, clustering techniques, and decision trees.

Worksite: Foster City, CA

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Travel Requirements: Domestic travel required up to 5% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $129,400.00 to $200,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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 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 stakeholders, and shape the future of our products and business.

The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset 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 US hubs or remotely in the United States.

• Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform 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

• 4+ 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

• A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments

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.

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 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.

• Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems.
• Design/run A/B tests and quasi-experiments; turn results into product decisions the same week.
• Build source-of-truth dashboards and lightweight data models so teams can self-serve answers.
• Instrument events with engineers; improve data quality and latency from ingestion to insight.
• Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.
• Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.

• 0-2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
• Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
• Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
• Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.

• Generous equity grant vested over 4 years
• A $0K relocation bonus (if moving to the Bay Area)
• A 10K housing bonus (if you live within 0.5 miles of our office)
• A 1K monthly stipend for meals
• Free Equinox membership
• Health insurance