Lead Staff Data Scientist, Marketing

Employee Applicant Privacy NoticeWho We Are:At SoFi, we are on a mission to revolutionize personal finance for our members. Through innovative, mobile-first technology, we empower millions of individuals to achieve their financial objectives. As a forward-thinking financial services company and national bank, we pride ourselves on our role in transforming the industry and making a positive impact on people's lives. Join us to invest in yourself, your career, and the future of finance.We are seeking a dynamic and technically proficient Staff Data Scientist to join our Member Data Science team. This role is pivotal in enhancing engagement and maximizing long-term member value, particularly within our premium subscription program, SoFi Plus. Your responsibilities will include gaining deep insights into engagement drivers, retention strategies, and subscription value within the SoFi ecosystem. You will establish and manage engagement measurement frameworks, conduct impactful analytical explorations, design causal experiments, and create scalable data solutions that shape product strategies for SoFi Plus.As part of the Member Organization, you will develop engaging and personalized experiences for our members across various product lines. In your role as Staff Data Scientist, you will collaborate closely with Product, Engineering, Lifecycle Marketing, and Leadership teams, influencing the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, and subscription adjustments. Your analytical skills will be essential in identifying key opportunities to boost subscription engagement and revenue, ensuring our investment decisions are driven by disciplined data analysis.This high-visibility position is cross-functional and will directly influence member experience and recurring revenue growth. It is an exciting opportunity for someone eager to make a significant impact on our company’s growth trajectory and member satisfaction.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are transforming how individuals engage with personal finance, utilizing cutting-edge, mobile-first technology to empower our millions of members in achieving their financial goals. As a next-generation financial services provider and national bank, we are leading the way in a rapidly evolving industry. We take pride in our work, knowing it has a profound impact on people's lives, guided by our core values at every step. Invest in yourself, your career, and the financial landscape with us.We are seeking a talented Senior Data Scientist to make significant contributions to our Member Data Science team, focusing on propelling member growth through diverse initiatives. In this role, you will be crucial in establishing measurement frameworks and analytical systems that underpin our growth strategies from start to finish. Your responsibilities will include defining key performance indicators (KPIs), developing tracking systems, designing experiments, performing customer segmentation and price elasticity analyses, and enhancing member acquisition economics through predictive modeling.As a Senior Data Scientist in the Member Growth division, you will be responsible for defining and managing essential growth KPIs, constructing and maintaining reliable dashboards to monitor performance, and setting clear success metrics throughout the growth funnel. You will delve into analyses such as customer segmentation, funnel analysis, A/B testing, and trade-off assessments to pinpoint optimization levers for conversion, while becoming a subject matter expert in our member referral program. You will also develop models (e.g., propensity or uplift models) to guide targeting, prioritization, and investment decisions across growth initiatives. This role demands robust technical expertise (SQL, Python/R, Tableau, Statistics), a deep understanding of metrics, segmentation, experimentation, and excellent collaboration skills.This position is inherently cross-functional, requiring close collaboration with engineering, product management, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, outline referral program strategies, prioritize features, share insights, and implement actionable solutions.

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.

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 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 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

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.

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.

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.

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.

At Magic, we are on a mission to create safe AGI that propels humanity forward in tackling the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, allowing us to enhance models and ensure alignment more reliably than human capabilities alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing to realize this vision.About the Role:We are seeking a passionate individual to spearhead developer experience and data tooling within our pre-training data team. This role involves creating internal tools and infrastructure that enhance team productivity, including dashboards, command-line interfaces (CLIs), data exploration UIs, and the systems that interconnect them.Focusing on developer experience and tooling, we need someone who enjoys solving problems, deploying solutions quickly, and experimenting with new ideas.Potential Projects:Lead tooling initiatives across the architecture: develop systems, implement continuous integration, create CLI utilities, and design internal web interfaces.Design internal tools for dataset exploration, data labeling, quality assessment, and data inventory management.Enhance data infrastructure ergonomics—optimizing IO patterns in Ray/dataflow jobs, improving dataset tracking, and enhancing pipeline observability.Spot opportunities by engaging with the team, understanding their challenges, and proactively refining workflows.Elevate standards for code organization, packaging, and engineering best practices.What We Are Looking For:Preferred QualificationsSolid foundation in software engineering principles.Genuine interest in developer experience and best practices for code organization.Effective communicator, adept at collaborating with teammates to understand their requirements.Proactive mindset—identifies issues and implements solutions.Local to San Francisco (this role requires in-office attendance).Ideal Background (in order of importance)Open source contributor—experience with tools similar to Ruff, uv, or other developer-centric projects.Experience in build systems and CI—has developed or overseen build systems, CI pipelines, or developer tools on a large scale.Data pipeline experience—understanding of optimizing data workflows and data handling.

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.