Senior Data Scientist - Go-To-Market Strategy

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

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

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

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

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

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

Why Join Harvey?At Harvey, we are revolutionizing the landscape of legal and professional services. Our approach is not just incremental; we are redefining the entire process by integrating cutting-edge agentic AI, an enterprise-grade platform, and extensive domain expertise. This transformative journey is set to reshape critical knowledge work for generations.This is a unique opportunity to contribute to a company poised for generational impact at a pivotal moment. With over 1,000 customers across more than 58 countries, strong product-market alignment, and exceptional investor backing, we are rapidly scaling and pioneering a new industry category. The ambitions are grand, the standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of highly skilled, passionate individuals dedicated to our mission. We prioritize agility, intensity, and ownership in tackling challenges — from conceptualization to long-term impact. We maintain close relationships with our customers, collaborating across all levels to address real issues with urgency and care. If you excel in dynamic environments, strive for excellence, and wish to influence the future of work alongside driven peers, we welcome you to join our journey.At Harvey, the future of professional services is being crafted today — and we are just beginning.Position OverviewWe are seeking a Senior Data Scientist to deeply integrate with Harvey’s rapidly expanding Go-To-Market (GTM) team and establish our GTM data science capabilities from the ground up. In this role, you will serve as a vital analytical partner to GTM, Marketing, and Finance — defining success metrics, uncovering growth and retention drivers, and guiding strategic investments across the business. As one of the initial hires in GTM data science, you will take ownership of developing essential GTM metrics, scalable dashboards, and analytical frameworks that foster data-driven decision-making.Key ResponsibilitiesCollaborate closely with the GTM team as a trusted advisor, discovering innovative methods to enhance business performance and spur growth.Establish, monitor, and refine core metrics across GTM and related functions, creating scalable dashboards and reporting structures that facilitate data-driven decision-making.Design, implement, and assess statistical models (Logistic Regression, K-Means Clustering) to analyze customer behavior and retention efficacy.Utilize statistical and machine learning approaches to model user behavior, predict trends, and identify avenues for growth and optimization.Translate intricate analyses into actionable insights for stakeholders across the organization.

About AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Leveraging our distinctive blend of proprietary technology and innovative software, we serve over 200,000 businesses worldwide—including notable companies such as Brex, Rippling, Navan, Qantas, and SHEIN—empowering them with fully integrated solutions to streamline business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we are proud to employ a diverse team of over 2,000 forward-thinking professionals across 26 offices globally. With a valuation of US$8 billion and support from esteemed investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of building the future of global payments and financial solutions. If you’re eager to engage in the most ambitious work of your career, we invite you to join our team.

At Gong, we leverage cutting-edge AI technology to revolutionize how revenue teams achieve success. Our Gong Revenue AI Operating System seamlessly integrates data, insights, and workflows into one reliable platform, empowering the world's leading revenue teams to observe, guide, and act with unparalleled effectiveness. With the Gong Revenue Graph at its core, our AI-driven intelligence, specialized agents, and trusted applications support over 5,000 companies globally, enabling them to gain deeper insights into their teams and customers, automate essential sales processes, and close deals with greater efficiency. For additional information, visit www.gong.io.Joining Gong means becoming part of a dynamic organization driven by innovation, ambitious aspirations, and dedicated individuals. We are at the forefront of shaping the future of revenue intelligence and seek those who are eager to contribute to what's next. Collaborate with a team that dreams big, moves swiftly, and values craftsmanship and camaraderie. Transparency and trust are fundamental to our operations, and every team member has the chance to make a significant impact. If you are ready to grow, challenge yourself, and engage in meaningful work, Gong is where you can achieve the pinnacle of your career.The GTM Data Architect is responsible for the comprehensive strategy, governance, and execution of data orchestration, enrichment, control, and activation within the GTM organization. This key role guarantees that data is not only accurate but also usable, scalable, and seamlessly integrated into workflows that enhance adoption and performance. You will act as the primary owner of account and lead data strategy, connecting RevOps, Field Ops, Systems, Sales, Marketing, and AI/Automation teams to establish a forward-thinking, execution-ready data foundation.

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

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

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

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

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

About the Role Hinge Health is expanding from digital physical therapy to a broader approach in musculoskeletal care through the HingeSelect program. This platform gives members access to in-person visits, specialist referrals, and personalized care pathways. As HingeSelect grows, the team seeks a Staff Product Data Scientist to create a measurement and experimentation framework that connects product work to real business growth. This is a foundational 0-to-1 position as the first dedicated data scientist for HingeSelect's discovery and visitation experience. The role works closely with Product and Engineering to uncover conversion barriers, set up causal guardrails to protect existing programs, and ensure instrumentation delivers clear links between product features and outcomes. There will also be a focus on analyzing how provider capacity meets member demand to improve supply-demand balance across the care network. The right candidate brings strong technical skills, experience with AI-assisted development, and the ability to build data architecture from scratch. Comfort with writing production-ready code using AI tools, designing experiments for causal inference, and structuring ambiguous business questions into analytical frameworks is important. This expertise will help the team avoid superficial analytics, measure strategic risks, and keep engineering efforts aligned with outcomes. The current stack includes Python, SQL, dbt, Mode, Databricks, Airflow, Statsig, and AWS. What You'll Achieve Build measurement and experimentation infrastructure for HingeSelect, from instrumentation design to causal analysis and metric reporting. Pinpoint and address conversion issues across the HingeSelect funnel, including discovery, selection, scheduling, and visit completion. Work with Product to prioritize changes with the biggest impact. Design and run experiments with causal guardrails to measure HingeSelect’s incremental value while protecting engagement in digital physical therapy programs. Model supply-demand dynamics by analyzing provider capacity, geographic coverage, and member demand to inform network strategy and capacity planning. Define the data architecture for HingeSelect, including event taxonomy, data models, and metric definitions that support reliable analysis and AI agent use. Create and maintain dashboards and self-service tools that give Product, Engineering, and leadership real-time visibility into funnel performance and key metrics.

The Data Science team at Asana plays a crucial role in advancing our mission by promoting a data-driven mindset that shapes our product offerings and business strategies. As a key member of the Marketing Data Science team, you will serve as the foremost technical authority, leveraging data and scientific methodologies to design and develop innovative, scalable solutions that boost Asana’s marketing performance. You will lead the technical vision for our data science initiatives, working alongside marketing leadership and the wider Asana data community to identify and capitalize on new opportunities. Your expertise will provide technical direction and mentorship, enhancing the team's capabilities and significantly impacting our overall business strategy through advanced modeling and experimental design.This position is located in our San Francisco office and follows a hybrid work model. Standard in-office days are Monday, Tuesday, and Thursday, with the flexibility to work from home on Wednesdays. Whether you can work from home on Fridays will depend on your specific role and team collaboration. Your recruiter will provide further details regarding in-office expectations during the interview process.

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

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