Staff Data Scientist - Product

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 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 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.

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.

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.

Join Hebbia's Innovation JourneyAt Hebbia, we are revolutionizing the financial landscape with our cutting-edge AI platform tailored for investors and bankers. Our technology not only generates alpha but also propels upside for our clients.Founded in 2020 by industry visionaries George Sivulka, with backing from notable figures like Peter Thiel and Andreessen Horowitz, Hebbia is at the forefront of driving data-driven investment decisions for renowned firms including BlackRock, KKR, and Carlyle. Our flagship product, Matrix, is trusted across the globe to manage over $30 trillion in assets, delivering unparalleled accuracy and transparency in AI-driven analysis.We empower finance professionals by uncovering insights that would otherwise remain hidden, accelerating decision-making processes with precision and speed. At Hebbia, we are not just another tool; we are the competitive advantage that enhances performance and market leadership.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform in North America and Europe, where users can buy, sell, and explore the items they cherish. We are transforming the e-commerce landscape by merging community, shopping, and entertainment into a unique marketplace tailored for you. As a remote co-located team, our culture thrives on innovation, firmly grounded in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Whether it's fashion, beauty, electronics, or collectibles like trading cards and comic books, our live auctions cater to diverse interests.And we’re just at the beginning! As one of the fastest-growing marketplaces, we seek audacious, innovative problem solvers across all departments. Stay updated with Whatnot’s latest developments through our news and engineering blogs, and join us in empowering individuals to transform their passions into businesses and connect communities through commerce. Role OverviewAs Whatnot continues its rapid expansion, data plays a pivotal role in influencing our product strategy and enhancing the user experience for both buyers and sellers. We are in search of a Product Data Scientist who will closely collaborate with Product, Engineering, Design, and Operations teams to extract insights, spearhead experimentation, and support data-driven decision-making across the organization.In this position, you will: Generate Insights & Shape Product DirectionEstablish and take ownership of the KPIs that gauge product vitality, user engagement, and marketplace success.Examine user behavior, product usage trends, and marketplace dynamics to pinpoint opportunities and guide product priorities.Convert intricate data into actionable insights for product and leadership teams. Drive Experimentation & MeasurementCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact evaluation, and long-term product assessment.Develop scalable methodologies for performance tracking and reporting.

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 fal as a Senior Data Scientist specializing in Product Intelligence, where you will design the analytical architecture that drives our growth. Your expertise will encompass the entire developer journey, from initial acquisition to sustained expansion. You will transform raw behavioral and system signals into actionable metrics and insights that guide our product strategy and market approach.This strategic position allows you to collaborate closely with teams in Product, Engineering, and Marketing. You will not only conduct domain-specific analyses but also take ownership of the foundational data systems, standards, and experimentation frameworks that provide essential insights across the company.

Be Part of the E-Commerce Revolution with Whatnot!Whatnot stands as the largest live shopping platform across North America and Europe, where you can buy, sell, and explore the products you love. We're transforming the e-commerce landscape by integrating community, shopping, and entertainment into a unique experience tailored just for you. As a part of our remote co-located team, we thrive on innovation while being grounded in our core values. With offices in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles such as trading cards, comic books, and even live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek adventurous, innovative problem solvers across all sectors. Stay updated with Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering connections through commerce. Your RoleAs Whatnot continues to expand rapidly, data plays a crucial role in shaping our product strategy and crafting exceptional, high-performance experiences for both buyers and sellers. We are in search of a Product Data Scientist who will collaborate closely with Product, Engineering, Design, and Operations teams to generate insights, drive experimentation, and influence decision-making throughout the organization.In this pivotal role, you will: Discover Insights & Influence Product StrategyDefine and manage the KPIs that gauge product health, user engagement, and marketplace performance.Examine user behavior, product usage patterns, and marketplace trends to pinpoint opportunities and guide product priorities.Convert complex data into practical recommendations for product and leadership teams. Foster Experimentation & EvaluationCollaborate with product managers and engineers to design, execute, and assess A/B tests and feature launches.Create frameworks for causal inference, impact assessment, and long-term product evaluation.Develop scalable methodologies for data analysis and reporting.

Join Our Innovative TeamAbout the TeamAt OpenAI, our Platform team is at the forefront of empowering millions of developers and enterprises as they leverage our cutting-edge AI models. We provide robust APIs and intelligent solutions that are utilized by startups and Fortune 500 companies worldwide. Collaborating closely with product managers, engineers, and designers, we are dedicated to building an exceptional platform that advances the boundaries of AI technology.About the RoleAs a Data Scientist within our Platform team, you will champion a data-centric approach for OpenAI’s API and B2B offerings. Your responsibilities will include defining critical metrics for developer success and enterprise impact, assessing the effects of new models and features, and partnering with product managers and engineers to enhance model quality, reliability, responsiveness, and cost-effectiveness. Your contributions will influence how countless products integrate agentic AI capabilities.This position is based in San Francisco, CA. We embrace a hybrid work model, requiring you to be in the office three days a week, and we provide relocation assistance for new team members.Your ResponsibilitiesIntegrate with the Platform product team as a valued collaborator, identifying opportunities to enhance developer experience, reliability, and growth.Establish key performance indicators across the developer journey (activation, retention, growth), along with latency and cost benchmarks for new features and models.Design, execute, and analyze A/B tests and controlled rollouts for new model versions, pricing strategies, API enhancements, and B2B product launches.Create comprehensive dashboards and self-service data tools for product, engineering, and go-to-market teams.Translate product insights into actionable feedback for the Research team, addressing areas such as failure modes and model evaluation gaps.Ideal Candidate Profile5+ years of experience in a quantitative role within dynamic, high-growth environments (experience with platforms, APIs, or B2B products is a plus).Proficient in SQL and Python, with a proven track record of proposing, designing, and conducting rigorous experiments.Demonstrated ability to define and operationalize metrics from inception, including reliability, latency, cost, and safety considerations.Exceptional communication skills to collaborate effectively with product managers, engineers, and executives.Strong strategic instincts that go beyond statistical analysis—capable of making informed decisions about trade-offs and business impacts.Preferred QualificationsBackground in developer experience and B2B product optimization.

About GustoAt Gusto, we are dedicated to empowering small businesses to flourish. Our comprehensive solutions encompass payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: serving their customers and mastering their craft. With teams located in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, while striving to cultivate a workplace that reflects and honors our diverse clientele. Discover more about our Total Rewards philosophy.About the Role:We are seeking an experienced and driven Principal Data Scientist with over 10 years of expertise to join our Product team. In this pivotal role, you will utilize your skills in experimentation, statistical inference, and causal analysis to influence strategic decision-making that propels our organizational success. The ideal candidate is a compelling data storyteller with robust statistical and programming capabilities, passionate about leveraging data to support small business growth.In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an authority on your domain's data, establish and monitor key metrics to assess business performance, and analyze our Payroll, Benefits, and HR data to extract actionable insights. Additionally, you will adopt AI-assisted methodologies to enhance analysis efficiency, improve rigor, and broaden the dissemination of insights across Gusto.We have multiple senior Data Scientist roles available at this senior level, each concentrating on various critical business areas.Here’s what you’ll do day-to-day:Strategic Leadership: Develop the analytical strategy for a significant product or business segment. Pinpoint high-impact opportunities, set long-term objectives for measurement and experimentation, and synchronize executive stakeholders on data-driven initiatives.Execution Excellence: Drive the implementation of comprehensive analytical roadmaps that influence company strategy. Ensure alignment and uphold consistent analytical rigor and metric integrity across product domains.Scaled Impact: Beyond being an expert in statistical methods and fostering impact...

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.

Join our dynamic team at Laurel as a Senior Data Scientist specializing in Product Analytics. In this pivotal role, you will leverage your analytical expertise to drive data-informed decisions that enhance our product offerings. You will collaborate closely with cross-functional teams, utilizing advanced statistical methods and predictive modeling techniques to derive actionable insights from complex data sets.Key responsibilities include conducting thorough analyses, developing predictive models, and translating data findings into strategic recommendations. You will have the opportunity to impact product development directly while working in a fast-paced and innovative environment.

About Cantina:Cantina Labs is at the forefront of social AI innovation, crafting a collection of cutting-edge real-time models that redefine expression, personality, and realism. Our mission is to breathe life into characters, revolutionizing storytelling, connection, and creativity. Cantina, our flagship social AI platform, marks the beginning of an exciting journey.If you share our passion for harnessing AI's transformative power in human creativity and social engagement, we invite you to join us in shaping the future!About the Role:As a Data Scientist at Cantina, you will be a pivotal member of our data team, establishing the standards for data science practices within the organization. Collaborating closely with product, marketing, and engineering teams, you will play a key role in defining product success, developing models, and generating insights that guide product strategy. Your contributions will enable the entire company to leverage data effectively.What You’ll Do:Collaborate with product managers, marketers, engineers, and designers to establish success metrics and drive our product and growth strategies.Design and evaluate A/B tests and experiments to inform product and growth decisions.Create and manage dashboards, reporting pipelines, and monitoring tools that convert product data into actionable insights.Analyze user behavior and utilize findings to inspire product innovation.Promote a data-driven culture across product and leadership teams.What You’ll Bring:A minimum of 5 years of experience in data science, product analytics, or a related quantitative field.Expertise in SQL and hands-on experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) and tools like dbt or Airflow.Proficiency in Python for data analysis and machine learning; experience with Hex is an advantage.A talent for transforming ambiguous questions into structured analyses with clear insights.Strong communication skills and the ability to influence decisions among both technical and non-technical stakeholders.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

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.

Join Mixpanel as a Data Scientist and contribute to our mission of helping businesses make data-driven decisions. In this role, you will analyze complex datasets, develop predictive models, and provide actionable insights to enhance our product offerings.

Join our dynamic Analytics team at DoorDash, where we are seeking an innovative Senior Lead Data Scientist to spearhead the exploration and interpretation of complex data sets. This pivotal role will help shape our global platform expansion strategies, driving informed decisions across all facets of our organization.About the TeamThe Analytics team is dedicated to leveraging advanced analytical methodologies to inform strategic initiatives and operational decisions. As a Senior Lead Data Scientist, you will play a crucial role in transforming insights into actionable strategies that contribute to DoorDash’s success.About the RoleIn this role, you will delve into intricate data analyses to tackle significant business challenges, devise and implement experiments based on your findings, and collaborate with cross-functional teams to enact meaningful operational changes. Your expertise will be crucial in enhancing our marketplace efficiencies, optimizing customer acquisition, and addressing fraud prevention among other exciting challenges.If you thrive on identifying patterns in data chaos, possess a passion for building impactful market strategies from the ground up, and have a proven track record of employing analytics to drive revenue and operational growth, we want to hear from you!Your ImpactLead and mentor a team of Data Scientists in uncovering vital business insights while also contributing as an individual expert.Shape the Product and Operations roadmap with data-driven recommendations.Engage with senior leadership to present your team's findings and address complex business challenges.Establish measurement strategies for your area, defining key performance indicators and best practices in experimental design and statistical analysis.Craft a strategic learning roadmap informed by data insights, key questions, and hypotheses.QualificationsA Master’s or Ph.D. in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.8+ years of experience in Data Science, with a focus on product analytics and operational strategies.Proficiency in statistical tools and programming languages such as Python, R, or SQL.Strong analytical mindset with a demonstrated ability to solve complex problems using data.Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.