Staff Data Scientist, Growth Analytics

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.

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.

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.

At Grow Therapy, we're on a mission to revolutionize mental health care by bridging the gap between therapists and patients. As a Senior Data Scientist, you'll play a pivotal role in enhancing user engagement through data-driven insights. Your expertise will drive our understanding of user behavior, improve onboarding and retention processes, and influence product direction across our mobile and web platforms. You will also lead the development of predictive models to optimize marketing strategies and enhance the therapist-patient matching process, all while exploring innovative AI applications to enrich user experiences. Join us in shaping the future of mental health care.

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.

Join Grow Therapy as a Senior Data Scientist dedicated to enhancing user experiences and driving growth in mental healthcare. In this pivotal role, you will analyze user behavior to optimize onboarding and retention strategies, influence product development, and lead AI integration in therapy solutions. Collaborate with cross-functional teams to create predictive models and analytical frameworks that empower our mission to connect therapists and patients effectively.

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.

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.

About AirwallexAirwallex stands as the premier unified payments and financial platform for global enterprises. With our cutting-edge combination of proprietary infrastructure and innovative software, we empower over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, SHEIN, and many others—to manage everything from business accounts and payments to spend management and treasury solutions, all while facilitating embedded finance on a global scale.Founded in Melbourne, we are proud to have a dynamic team of over 2,000 talented and innovative professionals in technology, spread across 26 offices globally. With a valuation of $8 billion and support from top-tier 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 constructing the future of global payments and financial services. If you are prepared to embark on the most ambitious journey of your career, we invite you to join us.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

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 UsPomelo Care is the premier provider of evidence-based healthcare solutions tailored for women and children. Our mission is to offer personalized, high-quality clinical interventions ranging from reproductive and pregnancy care to pediatrics, hormonal health, and long-term preventive measures. We ensure 24/7 multispecialty care that addresses the medical, behavioral, and social factors affecting health outcomes for moms and babies. Collaborating with payers, employers, and healthcare providers, we strive to enhance access to quality healthcare across the board.Role OverviewYour Mission: Develop groundbreaking, data-driven products that enhance patient engagement and retention, ultimately improving the health and well-being of mothers and infants.We are seeking a skilled Staff Data Scientist to lead our data strategy within the Growth and Patient Experience team. This role focuses on two main objectives: optimizing our patient enrollment strategies and creating innovative products that maintain patient engagement throughout their care journey. In this capacity, you will:Master patient behaviors, engagement trends, and retention factors, guiding the team’s data science roadmap and influencing Pomelo’s patient experience strategy.Collaborate extensively with the Marketing team to design and refine a multi-channel enrollment strategy, including building attribution models, analyzing conversion rates, and optimizing resource allocation for patient enrollment.Establish and refine key performance metrics that reflect the health of the business, such as enrollment and retention rates, and share insights with Pomelo’s executive leadership.Conduct exploratory analyses to inform the design of features focused on enrollment and engagement, including categorization of conversation topics and segmentation of patient journeys.Create robust data pipelines and analytics frameworks that integrate external data with marketing and product usage data, providing a comprehensive view of the patient experience.Lead the A/B testing efforts across marketing and product initiatives to accurately evaluate their impact.Work closely with Product, Clinical, and Engineering teams to convert patient insights into actionable product enhancements and new feature developments.

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.

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.

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!

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 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 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.

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 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!