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Join Whatnot as a Data Scientist specializing in Risk & Fraud and leverage your analytical skills to help us combat fraud and mitigate risks in our vibrant online marketplace. You will work collaboratively with cross-functional teams to analyze data, identify trends, and develop strategies that improve our platform's security and user experience.
Whatnot is a dynamic and rapidly growing startup revolutionizing the way people buy and sell collectibles. Our platform empowers users to engage in live auctions and discover unique items, all while ensuring a safe and secure environment. We value innovation, collaboration, and a passion for building community.
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Search for Staff Product Data Scientist In Risk And Payments
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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 …
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.
About Gusto Gusto supports over 400,000 small businesses nationwide by handling payroll, health insurance, 401(k) plans, and HR services. This work helps business owners focus on what matters most to them and their customers. With offices in Denver, San Francisco, and New York, Gusto aims to build a workplace that reflects the diversity of the communities it serves. Full-time employees receive competitive salaries, a comprehensive benefits package, and equity in the form of RSUs. Compensation varies by role, level, and location. Details about Gusto’s approach to rewards can be found on their Total Rewards philosophy page. AI plays a key role in daily operations at Gusto. Team members are expected to use AI tools relevant to their work and continue building their skills as technology evolves. The level of AI experience required depends on the position and will be assessed during the interview process. Role Overview: Staff Software Engineer – Payments & Risk Gusto is hiring experienced full-stack engineers for teams working on payments and risk platforms. These systems serve small business owners every day. Staff Software Engineers in this group work across the full lifecycle of payments or risk systems: shaping architecture early in design, building internal features and APIs, and maintaining performance after launch. The work includes engineering the core business engine, providing reliable backend services for product teams, and setting a high standard for engineering practices. Team Focus Areas Payments: The Payments team manages all financial transaction operations for Gusto’s products. This includes ensuring secure fund transfers among partners, employers, employees, and government agencies. Engineers on this team build new payment features for both U.S. and international markets and help redesign the payments platform to support future growth. Risk: The Risk team develops systems that protect Gusto and its clients from financial risks. This work shapes experiences that keep customers and the company safe. Location This role is based in San Francisco, CA (hybrid) or New York, NY (hybrid).
HeartFlow, Inc.
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.
Whatnot
Join Whatnot as a Data Scientist specializing in Risk & Fraud and leverage your analytical skills to help us combat fraud and mitigate risks in our vibrant online marketplace. You will work collaboratively with cross-functional teams to analyze data, identify trends, and develop strategies that improve our platform's security and user experience.
About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of complex tasks such as payroll, health insurance, 401(k)s, and HR, allowing business owners to focus on their passions and their customers. With vibrant teams across Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide. We are committed to creating a workplace that reflects and celebrates the diversity of our customer base. Discover more about our Total Rewards philosophy.As a Principal Data Scientist on the Payments team, you will play a crucial role at the intersection of financial systems and data science. You will transform the complexities of a large-scale payments ecosystem into actionable insights and models that drive the development, operation, and enhancement of our payment solutions.Your responsibilities will include collaborating closely with Product, Engineering, Design, Finance, and other Data teams. You will gain expertise in your domain's data, define metrics to assess our business performance, and analyze payments data to provide valuable insights. Additionally, you will integrate AI-assisted methodologies to expedite analysis, improve analytical rigor, and broaden the dissemination of insights across Gusto.This position is ideal for individuals who are equally adept at analyzing ledger-level transaction data and engaging with payments engineering teams to impact architectural decisions. If you are passionate about enhancing the financial well-being of countless small businesses, this opportunity is for you.
Stripe, Inc.
Role overview Stripe is hiring a Staff Product Manager to focus on Payments. This role shapes product strategy and leads execution to improve how millions of businesses handle payments worldwide. The work centers on building products that make payments simpler and more reliable for Stripe’s users. What you will do Define and refine the product vision and roadmap for Payments at Stripe Work closely with engineering, design, and data science teams to deliver new payment solutions Identify user needs and translate them into product features Guide projects from concept through launch, measuring impact and iterating as needed Location This position is open to candidates based in San Francisco, Seattle, New York City, or remote.
Ironclad, Inc.
Join Ironclad, a pioneering company at the forefront of digital contracting, as a Staff Data Scientist specializing in Product Analytics. In this role, you will leverage data to inform product decisions, enhance user experience, and drive strategic initiatives.You will collaborate with cross-functional teams to develop data-driven insights and recommendations that will shape the future of our product offerings. Your analytical skills will be crucial in interpreting complex data sets, identifying trends, and uncovering opportunities for innovation.
Join our dynamic team at Gusto as a Senior Data Scientist specializing in risk management. In this pivotal role, you will leverage your expertise in data science to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our risk assessment processes. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our risk management strategies.We are looking for an analytical thinker with strong programming skills and a passion for solving challenging problems. If you thrive in a fast-paced environment and are eager to make a significant impact, we would love to hear from you!
About Our TeamThe Intelligence and Investigations team at OpenAI is committed to proactively identifying and mitigating online abuse and strategic risks. Our mission is to foster a safe digital ecosystem by analyzing emerging trends and collaborating with internal and external partners to implement effective measures against misuse. Through our initiatives, we contribute to OpenAI's goal of creating AI technologies that enhance human well-being.The Strategic Intelligence & Analysis (SIA) team specializes in providing safety intelligence for OpenAI’s products. By monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats, we guide safety measures, product strategies, and partnerships. Our work ensures that OpenAI’s tools are utilized securely and responsibly in essential sectors.About the RoleAs a Data Scientist, you will spearhead econometric and experimental analyses to comprehend risk dynamics within complex human–AI systems. Your focus will be on quantifying the magnitude and implications of risk fluctuations in a fast-paced, evolving environment. You will design experimental and observational studies to uncover causal factors and assess risk changes across diverse surfaces and sources. Your insights will directly influence strategic risk management and prioritization across the organization.This position is based in San Francisco, CA (hybrid, 3 days/week) with relocation assistance available.Key Responsibilities:Design and execute experimental and observational analyses to evaluate strategic risks.Develop econometric models to assess the impact of product, policy, and external factors on critical risk vectors.Translate strategic risk inquiries into testable hypotheses and robust study frameworks.Implement A/B tests and pseudo-experimental studies to measure risk changes and uncover underlying mechanisms.Identify, test, and clarify product-driven, event-driven, or signal-driven risk variations.Establish baselines and statistical confidence around core metrics to define the scale of risks.Collaborate across teams to monitor strategic risks, pinpoint intervention opportunities, and assess the effectiveness of those interventions.
Join Airwallex as a Senior Data Scientist in Risk & FraudAt Airwallex, we are redefining the future of global payments and finance. As a Senior Data Scientist specializing in algorithms for risk and fraud prevention, you will be an integral part of our innovative team, working to safeguard transactions for over 200,000 businesses worldwide.Your expertise will help us build advanced machine learning models that address the ever-evolving challenges of fraud. You'll collaborate with a team of brilliant minds in a fast-paced environment, leveraging cutting-edge technology to develop solutions that are not just effective but also transformative.Join us in our mission to create a seamless financial experience for businesses globally!
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.
SentiLink
SentiLink is at the forefront of revolutionizing identity verification and risk solutions, enabling organizations and individuals to conduct transactions with utmost confidence. Our mission is to redefine the identity verification landscape in the United States by delivering solutions that outpace traditional methods in speed, intelligence, and accuracy.With significant growth momentum, SentiLink's real-time APIs have successfully validated hundreds of millions of identities, initially within financial services and rapidly branching into diverse sectors. We are proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our innovative approach has garnered accolades from industry leaders and media outlets, including TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider. Notably, we have consistently secured a spot on the Forbes Fintech 50 list since 2023. We also made history by being the first company to launch the eCBSV and by presenting our insights to the United States House of Representatives regarding the future of identity.SentiLink embraces various work arrangements, from fully remote to on-site options. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram and Bengaluru in India. For those near our offices, we encourage regular in-office engagement, although some roles are intentionally hybrid or office-based, exemplified by our engineering team in India who primarily operates from our Gurugram office.
OpenAI
About Our TeamAt OpenAI, our Applied team is at the forefront of integrating cutting-edge AI technologies into the daily lives of consumers and businesses worldwide. We work collaboratively across research, engineering, design, and business domains to transform innovative AI advancements into significant real-world applications. Our team has been instrumental in the successful launch of products like ChatGPT, API, and Sora. We create tools that empower developers, enhance business efficiency, and promote individual learning and creativity. As AI technologies evolve, our commitment is to ensure that our products remain safe, accessible, and beneficial for everyone.About the PositionWe are seeking a Data Scientist to join our Applied Product team, where you will play a vital role in fostering a data-driven product development culture for our consumer and enterprise offerings. Your contributions will be crucial as our products serve millions globally. You will help align research with product development to create measurable impacts for users and businesses alike.In this position, you will define key performance metrics, design and analyze A/B tests, and create comprehensive dashboards that empower teams across the organization to derive insights from product data. Most importantly, you will be an integral part of our product development team.This role is primarily based in San Francisco, CA, or Seattle, WA, operating under a hybrid work model, allowing three days in the office per week. We also provide relocation assistance for new hires.Key Responsibilities:Collaborate closely with the product development team to identify opportunities for product enhancement and growth.Design and interpret A/B tests to evaluate the effects of changes in models and user experience on our products.Foster a data-driven culture by defining and operationalizing metrics at the feature, product, and company levels.Create and promote dashboards and reports that enable the team and organization to address product data inquiries independently.Ideal Candidate Profile:5+ years of experience in a quantitative role, adept at navigating ambiguous environments, ideally with a focus on product analytics.Strong proficiency in statistical analysis and experience with data visualization tools.Excellent communication skills to convey complex data insights to diverse audiences.A passion for AI and its applications in real-world scenarios.
Mandolin
Mandolin is building delivery infrastructure to help advanced biologics, cell, and gene therapies reach patients quickly. The company’s AI-driven platform is already in use at leading infusion clinics, with plans to expand to payers and pharmaceutical companies. Backed by investors including Greylock, SignalFire, and Maverick, Mandolin’s team includes experienced founders and talent from top technology organizations. Role overview The Product Data Scientist will serve as the main analytical partner to Product and Business Operations. This position focuses on answering product and customer questions, investigating incidents, and analyzing complex data systems. The role calls for strong analytical skills, experience with product data, and the ability to communicate findings clearly to a range of teams. Collaboration with Product, BizOps, Engineering, and Deployment is central to this work. What you will do Be the primary source for product module metrics, supporting internal reporting, customer adoption, and billing by working closely with Engineering, Product, and Deployment teams. Perform detailed analyses and generate ad hoc queries and reports to address urgent customer issues and incidents. Support data architecture and analytics projects, including implementing product data capture and building essential data flows.
Checkr, Inc.
Join Checkr as a Staff Product Manager specializing in Identity Risk Solutions. In this pivotal role, you will lead the development of innovative products that enhance identity verification and risk assessment for our clients. You will collaborate with cross-functional teams to identify market opportunities, define product strategies, and drive product development from ideation to launch.As a key member of our team, you will leverage your expertise in product management to influence product direction and ensure alignment with business goals. Your analytical mindset and strong leadership skills will be crucial in navigating complex challenges in the identity verification landscape.
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 Scopely as a Data Scientist specializing in Marketing & Product! In this role, you will leverage data analytics to drive strategic decisions and optimize our marketing efforts. You will collaborate with cross-functional teams to implement data-driven solutions that enhance user experience and product performance.
About Quizlet:Quizlet is dedicated to transforming the learning experience for students around the globe. With a valuation exceeding $1 billion, our innovative learning platform engages millions of learners each month, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions every month.By integrating cognitive science with advanced machine learning techniques, we aim to personalize education and enhance the learning journey for students, professionals, and lifelong learners alike. We are passionate about empowering learners through diverse methodologies and innovative tools.Let’s Build the Future of LearningJoin us in creating AI-driven learning tools that have a global impact and unlock the potential of individuals everywhere.About the Team:The Data Science and Analytics team at Quizlet is pivotal in product research. We utilize our extensive data sets to amplify the voices of students and educators. Our focus is on delivering insights that guide product strategy through the application of the data science toolkit, playing a critical role in shaping company leadership decisions. Our team collaborates closely with Machine Learning and Data Engineering experts to foster a data-driven culture across the organization.About the Role:As a Staff Data Scientist on the Core Product Analytics team, you will work hand-in-hand with Product, Engineering, and Design teams to extract insights that influence Quizlet’s product strategy. Your responsibilities will include designing experiments, developing analytical frameworks, and defining key performance metrics that evaluate success and drive product advancement.This position is tailored for a data scientist who excels at converting complex data into straightforward, actionable insights. You will manage comprehensive analytics for core product domains—guiding roadmaps, executing A/B tests, and ensuring that all major product decisions are supported by robust evidence.We are pleased to offer this onsite position in our San Francisco office. To promote team collaboration, employees are expected to be in the office at least three days a week: Monday, Wednesday, and Thursday, or as directed by your manager. We believe that this arrangement enhances work efficiency, fosters teamwork, and supports professional growth within the organization.
Hinge Health
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
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