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.

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 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.

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.

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 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 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.

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 Extend:Extend is transforming the post-purchase landscape for retailers and customers by delivering AI-powered solutions that elevate customer satisfaction and enhance revenue growth. Our all-encompassing platform streamlines customer service, simplifies returns and exchanges, automates fulfillment processes, and offers product and shipping protection, all while ensuring top-tier fraud detection. By fusing cutting-edge technology with outstanding customer support, Extend equips businesses to foster consumer trust and loyalty, driving down costs and boosting profitability.Today, Extend collaborates with over 1,000 premier merchant partners spanning various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, fitness, and beyond. Supported by leading technology investors, our headquarters is situated in downtown San Francisco.About the Role:The Revenue Analytics team is dedicated to crafting strategic recommendations based on data to scale, boost, and recover revenue. We excel at integrating insights from Sales, Growth, Product, Engineering, and Risk to unearth growth and expansion opportunities that directly impact the company’s profitability. If you're passionate about distilling complexity and uncertainty into measurable outcomes, you'll flourish on our team.What You Will Be Doing:Cross-functional Leadership: Drive cross-functional teams independently through complex queries to influence and enact revenue-generating initiatives and recommendations.Revenue Enhancement: Develop and implement innovative strategies aimed at maximizing revenue and improving client acquisition across the entire revenue pipeline.Data-Driven Decision Making: Spearhead enhancements to our quantitative analysis methods (simulation models, A/B testing, causal impact analysis, etc.) to effectively guide strategic direction, with opportunities to present insights to leadership regularly.Data Infrastructure Management: Oversee, refine, and enhance existing data pipelines to leverage data analytics effectively, defining data structures, and utilizing advanced tracking methods to identify revenue opportunities.Exemplary Standards: Establish a benchmark for the team regarding analytical thinking and excellence.

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.

Join our dynamic team at Laurel as a Senior Machine Learning Data Scientist specializing in Analytics. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions that enhance our decision-making processes. You will collaborate with cross-functional teams to design and implement predictive models, analyze complex datasets, and translate insights into actionable strategies.Your contributions will be key in shaping the future of our analytics framework, enabling us to better serve our clients and stakeholders. If you’re passionate about data science and eager to make a significant impact, we want to hear from you!

About AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Our unique blend of proprietary infrastructure and advanced software equips over 200,000 businesses worldwide—including renowned names such as Brex, Rippling, Navan, Qantas, and SHEIN—with seamlessly integrated solutions for managing everything from business accounts and payments to spend management and treasury functions, all on a vast global scale.Founded in Melbourne, we proudly employ over 2,000 of the brightest minds in technology, spread across 26 offices worldwide. With a valuation of US$8 billion and support from top-tier investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of the global payments and financial landscape. If you're eager to undertake the most ambitious work of your career, we invite you to join our dynamic team.Attributes We ValueWe seek innovators with a builder's mentality who aspire to create meaningful impact, accelerate their learning, and assume true ownership of their work. You will bring a wealth of relevant expertise, sharp analytical thinking, and a passion for our mission and operating principles. Your speed in decision-making is balanced by sound judgment and curiosity, allowing you to explore deeply and make choices based on foundational principles.You possess a humble, collaborative spirit; you can transform innovative ideas into tangible products and effectively execute projects from start to finish. By leveraging AI, you work smarter and expedite problem-solving processes. Here, you will face intricate, high-impact challenges alongside exceptional colleagues and advance your career as we reimagine the future of global banking. If this resonates with you, let's collaborate to shape what comes next.We are in search of an accomplished Staff Data Scientist to take the technical lead on our Growth Analytics team. In this role, you will collaborate with Growth, Sales, Marketing, and Product teams to uncover opportunities, refine strategies, and drive scalable growth through data analytics.What You'll DoAct as the technical collaborator with Growth, Marketing, Sales, and Data Science leaders to define and execute Airwallex’s growth strategy.Lead and mentor your team in employing diverse data science methodologies—root-cause analysis, statistical modeling, and experimentation—to highlight opportunities and foster product-led growth (acquisition, activation, retention, reactivation).Develop insight-driven approaches to enhance decision-making and inform strategy.

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.

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.

Join Discord, a platform beloved by over 200 million users each month, primarily for gaming. With more than 90% of our community engaging in gaming activities, collectively spending 1.5 billion hours on diverse titles monthly, we are poised to shape the future of gaming. Our mission is to enhance the ways people connect and enjoy their gaming experiences before, during, and after play.We are seeking a talented Data Scientist to join our Performance Data Science team. In this pivotal role, you will ensure that Discord operates seamlessly for our users. Collaborating closely with design, engineering, and support teams, you will focus on app performance, user experience enhancement, and user growth. If you have a passion for data and a desire to make a substantial impact, we want to hear from you!

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 the innovative team at Pinterest as a Staff Data Scientist specializing in Ad Measurement Products. In this role, you will leverage your expertise to enhance our advertising solutions by analyzing data to drive strategic decision-making. You will collaborate with cross-functional teams to develop and implement data-driven strategies that optimize ad performance and measurement accuracy.

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.

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.