Staff Data Scientist at Firefox | United States

Join the dynamic team at Mozilla as a Staff Data Scientist for Firefox. In this pivotal role, you will leverage your skills in data analysis, machine learning, and statistical modeling to enhance the user experience and drive impactful decisions.As a key contributor, you will collaborate with cross-functional teams to analyze user data, build predictive mode…

Join HeartFlow, Inc. as a Staff Data Scientist and play a crucial role in revolutionizing cardiovascular care through advanced data analytics. You will leverage your expertise in data science to develop innovative algorithms and models that will enhance our medical imaging solutions, ultimately improving patient outcomes. Collaborate with a dynamic team of professionals who are dedicated to delivering exceptional healthcare solutions.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

SentiLink is at the forefront of revolutionizing identity verification and risk management, providing cutting-edge solutions that instill confidence in institutions and individuals alike. Our mission is to replace outdated and inefficient methods with solutions that are exponentially faster, more intelligent, and highly accurate.With rapid growth and significant traction, our real-time APIs have successfully verified hundreds of millions of identities, beginning with the financial sector and swiftly branching into diverse markets. SentiLink proudly partners with esteemed investors, including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Recognized by major publications like TechCrunch, CNBC, Bloomberg, and Forbes, we have been featured on the Forbes Fintech 50 list every year since 2023. We made history as the first company to implement the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.At SentiLink, we offer flexible work arrangements, from fully remote to in-office options. As a digital-first organization, we foster collaboration across our teams in the U.S. and India. We have physical offices in major cities across the United States, including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago, as well as in Gurugram (Delhi) and Bengaluru in India. If you reside near one of these offices, we encourage you to spend time on-site regularly, as some roles are designed to be hybrid or in-office.

About the PositionJoin OpenAI as an Applied Data Scientist, focusing on the critical analysis of unit economics to drive sustainable growth and establish the company as a leader in impactful innovation.In this role, you will spearhead the creation of advanced causal inference and data science models aimed at predicting and quantifying customer lifetime value (LTV). Your ability to translate complex data insights into strategic recommendations will be crucial for guiding our growth initiatives. This position demands a blend of technical expertise and executive communication skills.This opportunity is based at our San Francisco headquarters, with a flexible hybrid work model (three days in the office per week). Relocation assistance is provided.Your VisionDevelop robust causal inference and predictive analytics capabilities to assess and forecast LTV across various customer segments (B2C and B2B), and measure the incremental effects of diverse actions or product features on customer LTV.Craft customer “happy paths” by identifying optimal adoption journeys that maximize lifetime value while ensuring customers derive the full benefits from our ecosystem.Evaluate price elasticity to inform product packaging, monetization strategies, and pricing models.Your ResponsibilitiesCollaborate with cross-functional teams (Finance, Product, Data Engineering, Go-to-Market, and other Data Science teams) to develop causal inference and predictive models that influence key business decisions.Design and maintain LTV models across various product lines and customer cohorts.Create scalable frameworks and models that make economic insights accessible to leadership and functional teams.Support strategic pricing and investment decisions with thorough analytical and causal evidence.Lead cross-functional data science initiatives, ensuring analytical precision, clarity, and timely execution.Ideal Candidate ProfileExceptional executive communication skills — ability to simplify complex analyses into clear, actionable insights for leadership.Technical proficiency — expertise in ROI analysis, causal inference, statistical modeling, and ML predictive models; strong command of Python and SQL.Strategic acumen — capacity to connect analytical insights to tangible business outcomes, providing the “so what” that drives leadership decisions.

Join Stripe as a Staff Data Analyst and leverage your analytical skills to help drive data-informed decisions across the organization. You'll collaborate with various teams to analyze complex datasets, providing insights that contribute to the improvement of our products and services.

Join Grindr as a Staff Data Scientist in a hybrid role based out of our San Francisco, Los Angeles, or Chicago offices, requiring in-office presence on Tuesdays and Thursdays.Why This Role is Unique?Grindr (NYSE: GRND) is the world’s largest LGBTQ+ social application, boasting over 14 million monthly users globally. We are not just a platform but a vital part of the LGBTQ+ community and a cornerstone of gay culture.As a Staff Data Scientist, you will collaborate closely with product managers, designers, and engineers to create insightful metrics that drive product development. You will design and implement innovative experiments, present data-driven insights for decision-making, and explore new growth strategies through comprehensive analysis. This role allows you to work on deployed models that enhance the user experience for millions, while becoming an informal ambassador for the Data Science team, educating others on effective data utilization.You will be part of a dynamic data organization at Grindr that integrates data scientists, data engineers, and ML/AI engineers into a united and collaborative team. This is a unique opportunity to learn, share knowledge, and make a significant impact alongside industry leaders.Your ResponsibilitiesExtract actionable insights from complex, open-ended queries.Design and assess experiments to evaluate the impact of product changes.Analyze product data to identify root causes behind metric fluctuations.Effectively communicate findings to cross-functional stakeholders to inform product strategies.Develop tools to scale and automate analyses, enhancing company productivity.Mentor and guide team members, recommending best practices.Apply an engineering mindset to reduce complexity while maximizing utility and maintainability.Contribute to the development of future ML solutions to enhance recommendations, detect spam, and better serve our users.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. We’re revolutionizing personal finance by empowering our members with innovative, mobile-first technology to achieve their goals. As a next-generation financial services company and national bank, we're leading an unprecedented transformation in the industry, making a direct impact on lives every day. Join us to invest in yourself, your career, and the financial world.Role Overview:The Borrow Data Science team is in search of a Senior Staff Data Scientist to propel growth in our Home Loans division, enhancing SoFi's data execution capabilities. This pivotal role invites you to apply your analytical expertise to develop robust reporting, pinpoint growth opportunities, and construct machine learning models using tools such as Snowflake, Airflow, dbt, and Sagemaker.As a Senior Staff Data Scientist, you will lead data initiatives, balancing urgent needs with high-quality project delivery to key stakeholders through a clear, data-informed methodology. You will take on a technical leadership role, helping to develop reliable, efficient, and scalable data infrastructures, fostering a culture of technical ownership, and documenting your approaches to disseminate strategies throughout the organization. You will conduct analytical deep-dives to proactively identify impactful opportunities that will inform future experimentation designs and product roadmaps.In this position, you’ll leverage your proficiency in data analysis, statistical modeling, and machine learning to reveal insights that will directly shape product strategy and drive revenue growth. This role requires a solid technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and superior collaboration skills.

Join Reddit as a Senior Data Scientist in our Consumer Insights team, where you will leverage data to shape the future of community engagement. In this pivotal role, you will identify new opportunities for user growth, enhance engagement strategies, and drive retention through data-driven insights. You will conduct exploratory analyses, guide product strategy, and spearhead innovative experiments, all while collaborating closely with cross-functional teams. Your contributions will significantly impact how millions of users connect with the content and communities they care about.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

About TaskRabbit:TaskRabbit is a dynamic marketplace platform that seamlessly connects individuals with Taskers to take care of everyday tasks, including furniture assembly, handyman services, moving assistance, and much more.At TaskRabbit, our mission is to transform lives one task at a time. We celebrate innovation, inclusivity, and dedication. Our workplace culture is collaborative, pragmatic, and fast-paced. We're in search of talented, entrepreneurially-minded, data-driven individuals who are passionate about empowering others to pursue their passions. In partnership with IKEA, we're creating more opportunities for individuals to earn a consistent and meaningful income on their own terms by fostering lasting relationships with clients in communities worldwide.TaskRabbit operates as a hybrid company with team members distributed across the US and EU, and we are proud to be recognized as a Built In — Best Places to Work (2022, 2023, 2024) in multiple national and regional categories. Join us at TaskRabbit, where your work is impactful, your ideas are valued, and your potential is unleashed!This role follows a hybrid schedule, requiring two days of in-office collaboration each week. You can work from either our San Francisco office or our new New York City office, set to open in April 2026.

Employee Applicant Privacy NoticeWho we are:At SoFi, we are on a mission to redefine personal finance and empower our members to achieve their financial goals. We are a forward-thinking financial services company and national bank utilizing cutting-edge, mobile-first technology to transform the financial landscape. Join us in making a tangible impact in people's lives while adhering to our core values. Invest in yourself, your career, and the financial future with us.The RoleThe Borrow Data Science team is on the lookout for a Staff Data Scientist to drive growth in our Personal Loans sector by harnessing the power of data. This is an exciting opportunity for an analytical professional to develop comprehensive reporting, uncover growth potential, and construct machine learning models utilizing tools such as Snowflake, Airflow, dbt, and Sagemaker.In your position as Staff Data Scientist, you will act as a data leader, managing urgent requests while delivering high-quality projects to critical stakeholders through a structured, data-driven approach. You will also be responsible for establishing reliable, efficient, and scalable data foundations, fostering a culture of technical ownership, and documenting your methods and insights to promote widespread strategies within the organization. Your analytical deep-dives will proactively identify impactful opportunities and inform future experimentation and product roadmaps.In this capacity, your expertise in data analysis, statistical modeling, and machine learning will reveal insights that directly contribute to product strategy and revenue enhancement. This role necessitates a robust technical proficiency (SQL, Python/R, Tableau, Statistics), a thorough understanding of business metrics, A/B testing, causal inference analysis, and excellent collaboration skills.Moreover, you will engage cross-functionally with teams from engineering, product management, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive leadership.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

About AirwallexAirwallex stands out as the premier unified payments and financial platform tailored for global enterprises. Leveraging our distinctive blend of proprietary infrastructure and advanced technology, we empower over 200,000 businesses around the globe, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN, with comprehensive solutions to oversee everything from business accounts to payments, spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne, we are proud to have assembled a team of over 2,000 of the most talented and innovative individuals in the tech sphere across 26 global offices. With a valuation of US$8 billion and support from world-renowned investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of revolutionizing the global payments and financial landscape. If you are eager to engage in the most ambitious work of your career, we invite you to join us.Attributes We ValueAt Airwallex, we seek dynamic builders with an entrepreneurial spirit who desire to make a substantial impact and experience accelerated growth. You will bring strong expertise and critical thinking skills, driven by our mission and operating principles. You are quick to act with sound judgment, inquisitive, and able to make decisions based on foundational principles, balancing speed and thoroughness.You possess humility and a collaborative mindset; transforming zero-to-one concepts into tangible products, ensuring that you “get things done” from start to finish. You leverage AI to enhance your efficiency and expedite problem-solving processes. Here, you'll confront complex, high-stakes challenges alongside exceptional colleagues and advance your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the TeamThe Strategic Data Science team equips Airwallex’s Leadership with the necessary data, tools, and insights to amplify our rapid growth trajectory. We collaborate across all business sectors, providing a holistic perspective on what the company should prioritize. Our team’s expertise encompasses the entire data stack, allowing us to tackle intricate data challenges that will define the future of global fintech. The team is expanding swiftly, with members currently located in the US, China, and Singapore.Discover more about the data science team in this blogWhat You’ll DoAs a Staff Data Scientist on the GTM team, you will be instrumental in using data to inform strategic decisions and drive initiatives that enhance our market position and operational efficiency.

Join Our Mission to Empower Others: We’re Hiring! At GoFundMe, we pride ourselves on being the world’s largest platform dedicated to social good, connecting individuals and nonprofits to foster a supportive community. Since our inception in 2010, our collective efforts have raised over $40 billion to help people in need. We are committed to making it easy and secure for anyone to seek assistance and support meaningful causes. We are currently seeking a talented Staff Data Scientist specializing in Pricing to take the lead as a senior individual contributor. You will spearhead the scientific methods, strategic initiatives, experimentation, and AI implementation that drive pricing and yield optimization at GoFundMe. This pivotal role combines elements of economics, behavioral science, experimentation, and machine learning, directly influencing donation conversion rates, donation amounts, and overall donor experiences across our platform. Please note, candidates must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week. Your Role: End-to-End Ownership of Donation Pricing: Develop and implement analytical strategies, modeling frameworks, and key success metrics for pricing recommendations, balancing conversion rates, donation sizes, and long-term donor trust. Modeling Human Behavior: Utilize economic theories, behavioral science, and machine learning techniques to comprehend donor decision-making processes, assess elasticity, and forecast responses to alterations in product design. Leveraging Behavioral Signals: Analyze non-transactional behavioral signals (such as navigation patterns, hesitations, context, device usage, and timing) to identify shifts in intent and interaction patterns beyond direct transactions. Creating Adaptive Systems: Engineer models that evolve over time, integrating experimentation signals, feedback loops, and reinforcement learning concepts as needed. Leading Experimentation and Causal Learning: Collaborate with Product and Engineering teams to establish robust experimentation and measurement frameworks, ensuring that pricing and donation models maintain causal integrity and are safe for large-scale deployment. Incorporating External Data: Enhance behavioral models using external datasets (including macroeconomic indicators, seasonal trends, and regional signals) to gain deeper insights into donor behavior. Translating Insights into Action: Transform complex economic and behavioral analyses into actionable, deployable models.

About Owner.comOwner.com is revolutionizing the growth trajectory of local restaurants through advanced AI technology.Our AI solutions are meticulously designed to enhance SEO, marketing strategies, and online ordering processes, ultimately boosting first-party orders. Unlike other companies that burden small business owners with complex software, Owner.com provides a streamlined, expert-driven system that guarantees results.Think of us as your dedicated team of engineers and marketers, empowering independent restaurants to compete with larger chains.Our VisionInitially focused on helping independent restaurants thrive online, our mission extends to all local businesses facing similar challenges.In an era where massive tech corporations threaten local business survival, we are committed to leveling the playing field.Once we perfect our solutions for restaurants, our goal is to expand our services across various local business sectors.We envision a future where millions of local business owners leverage our technology to excel in the digital landscape.Discover our Series C memo here →Our TractionSince our inception in 2020, we have generated tens of millions in revenue and processed over half a billion dollars in online orders. One in five Americans has interacted with an Owner.com website.More significantly, we have supported over 20,000 restaurant owners, saving them close to $200 million in fees.Our TeamOur dynamic team, composed of top talent from renowned companies in the SMB software space, is poised for rapid expansion as we continue to grow alongside our customers.

Role overview Pearl Health is looking for a Staff Data Scientist to focus on Clinical Performance. This role is open to candidates in San Francisco, New York City, Boston, or remote locations. What you will do Analyze complex healthcare datasets in partnership with teams across the company Develop predictive models aimed at supporting better healthcare delivery and outcomes Use data-driven methods to enhance clinical performance Contribute analytical insights that help guide clinical initiatives Requirements Experience in data science, with a preference for backgrounds working with healthcare data Ability to build models and extract insights from large, complex datasets Strong collaboration skills with both technical and non-technical colleagues Interest in improving healthcare through data-driven approaches

Hinge Health is broadening its approach to musculoskeletal care with the HingeSelect program, which adds in-person visits, specialist referrals, and tailored care pathways to its digital physical therapy offerings. As HingeSelect expands, the team is hiring a Staff Data Scientist to establish the measurement and experimentation systems that will tie product development to business growth. This is a foundational role: the first dedicated data scientist focused on HingeSelect’s discovery and visitation experience. The position partners closely with Product and Engineering to identify conversion barriers, build causal guardrails to protect existing programs, and ensure that instrumentation clearly connects product features to measurable outcomes. Another key responsibility involves analyzing how provider capacity matches member demand, helping the team balance supply and demand across the care network. What you will do Develop measurement and experimentation infrastructure for HingeSelect, including instrumentation, causal analysis, and metric reporting. Identify and address conversion challenges throughout the HingeSelect funnel, from discovery to visit completion, working with Product to prioritize impactful changes. Design and execute experiments with causal guardrails to measure HingeSelect’s incremental value and safeguard engagement in digital physical therapy programs. Analyze supply-demand dynamics by examining provider capacity, geographic coverage, and member demand to inform network strategy and capacity planning. Define data architecture for HingeSelect, including event taxonomy, data models, and metric definitions to support reliable analysis and AI agent use. Build and maintain dashboards and self-service tools that provide Product, Engineering, and leadership with real-time insight into funnel performance and key metrics. Requirements Strong technical skills and experience building data architecture from the ground up. Comfort writing production-ready code using AI-assisted development tools. Background in designing experiments for causal inference and translating complex business questions into analytical frameworks. Ability to avoid superficial analytics, measure strategic risks, and keep engineering efforts focused on outcomes. Tech stack Python SQL dbt Mode Databricks Airflow Statsig AWS

Join Airwallex as a Staff Data ScientistAt Airwallex, we are revolutionizing the way global businesses manage their payments and finances. Our innovative platform empowers over 200,000 businesses worldwide, including esteemed names like Brex, Rippling, Navan, Qantas, and SHEIN, offering fully integrated solutions for business accounts, payments, spend management, treasury, and embedded finance.Founded in Melbourne, our talented team of over 2,000 professionals operates across 26 offices globally. With a valuation of US$8 billion and backing from top-tier investors like T. Rowe Price, Visa, and Mastercard, we are at the forefront of creating the financial platform of the future. If you're ready to embark on an extraordinary journey in your career, we invite you to join us.

Founded in 2007, Airbnb has transformed the travel landscape, growing from a humble start with three guests to a vibrant community of over 5 million hosts welcoming more than 2 billion guests worldwide. Every day, our hosts offer distinct stays and experiences, fostering authentic connections between travelers and local communities.Join Our Collaborative Team:You will be part of a dynamic group of data scientists, analysts, engineers, product managers, and designers dedicated to developing innovative pricing solutions for Airbnb hosts. Your primary team will include data scientists within the Guest & Host Data Science organization, who create models, essential tools, and insights to enhance the Airbnb marketplace for both guests and hosts. Your Impactful Contributions:Play a crucial role in shaping a pricing guidance system for our hosts and employ various methods (both experimental and observational) to evaluate the effectiveness of pricing feature launches. You will spearhead innovative pricing science initiatives, including pioneering 0-to-1 projects that require a blend of scientific rigor and creative business insights. Your most impactful work will involve:Working closely with product and cross-functional teams to develop and implement pricing strategies and guidance for hosts, translating sophisticated modeling into practical recommendations.Creating foundational models and experimental frameworks that balance marketplace supply and demand, using empirical methods to evaluate and enhance pricing feature impacts.Crafting engaging data narratives to reveal actionable insights, empower data-driven decision-making, and steer the future of Airbnb’s pricing ecosystem. A Day in Your Role:Gaining a comprehensive understanding of host perspectives on pricing and their interactions with our application through analysis and research.Building strong relationships with cross-functional partners in Product, Engineering, and Analytics.Coding in Python, SQL, and R to model, simulate, and measure the impact of new pricing features.Diving into data creatively to assess the varying effects of pricing feature launches, converting these insights into clear recommendations.Sharing findings and insights with leadership and partners in a straightforward and impactful manner.