Senior Data Science Manager, Revenue & Growth

About the Role DoorDash is hiring a Manager of Data Science to join the Logistics Analytics team. This leader will use data insights to improve logistics operations and delivery efficiency. The role involves managing a team of data scientists and working with partners across the company to support strategic projects and roll out new solutions. Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX Washington D.C. What You Will Do Lead and mentor a team of data scientists focused on logistics analytics Collaborate with cross-functional teams to support key business initiatives Apply data analysis to optimize logistics and boost delivery performance Drive implementation of new solutions that improve operational efficiency

Join our dynamic team at Sonsoft Inc. as a Data Science Analytics Associate! In this role, you will delve into data to extract insights that will drive our decision-making processes. You will work closely with cross-functional teams to analyze trends, develop models, and present findings that will contribute to our business strategies.

Join our dynamic team at Sonsoft Inc. as a Data Science and Analytics Specialist. This role involves leveraging data to drive meaningful business decisions, utilizing advanced analytical techniques to interpret complex datasets. You will collaborate with cross-functional teams to deliver insights that enhance our strategic initiatives.

Join Pinterest as a Manager II in Data Science and play a vital role in shaping our data-driven strategies. Lead a talented team of data scientists to leverage analytics and machine learning, driving impactful insights that enhance user experience and business outcomes.In this position, you will collaborate cross-functionally with engineering, product management, and marketing teams, ensuring that analytics is deeply integrated into our decision-making processes.

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

About the RoleAt Hinge Health, we are on a mission to revolutionize the way we approach pain management by creating a cohesive platform that seamlessly integrates digital and hybrid care solutions. We are looking for a Data Science Manager to spearhead our data strategy in two vital areas: Treatment Experience and Hinge Select.In this pivotal role, you will take charge of the data roadmap for our cutting-edge clinical technologies, which include Computer Vision (Motion Insights), the Enso wearable device, and our Rewards & Insights (RAIN) engagement platform. You will also lead the analytics strategy for Hinge Select, a rapidly expanding hybrid care service that connects members with both virtual specialists and in-person healthcare providers.What You'll AccomplishStrategic Thought Leadership: Act as the primary data partner for the Treatment Experience and Hinge Select leadership teams, proactively identifying opportunities to enhance CV adoption, optimize Enso usage, and improve conversion rates in the Hinge Select funnel.Team Leadership & Development: Mentor and grow a talented team of Data Scientists (currently 4 direct reports), fostering a culture of technical excellence, autonomy, and open communication. You will oversee their performance management, career advancement, and project prioritization.Product Data Quality & Infrastructure: Lead the charge on the 'Product Data Quality' initiative within your domains. This includes defining metric frameworks, enforcing strict instrumentation and taxonomy standards (Mixpanel), and ensuring the delivery of reliable, well-documented dbt data models in Databricks.Experimentation Excellence: Enhance the rigor and speed of experimentation within your teams using Statsig. Guide your team in designing complex experiments and interpreting results to ensure clarity and avoid unnecessary shipping.0-to-1 Product Analytics (Hinge Select): Build the foundational data architecture for Hinge Select, collaborating with Engineering to address complex data ingestion challenges and create a comprehensive view of our hybrid care supply and demand.Cross-Functional Collaboration: Connect technical data initiatives with business outcomes, ensuring that your team’s deliverables—whether predictive models or dashboards—are actionable, accessible, and aligned with company objectives.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

About DecagonDecagon stands as a pioneer in the conversational AI landscape, empowering brands to craft exceptional concierge customer experiences.Our innovative technology enables leading enterprises, including Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, to implement AI agents that facilitate personalized and enriching interactions across diverse channels such as voice, chat, email, SMS, and more.We envision a future where customer experiences are transformed from mundane support interactions to swift resolutions, engaging conversations, and meaningful relationships. Proudly backed by a consortium of world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we share a unified vision for innovation.As an in-office organization, we are united by a commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our teamwork and growth.About the Role:In the role of Director of Data & Analytics, you will spearhead the establishment of a top-tier data team that drives strategic decision-making through insightful analytics. Your contributions will significantly shape how data is collected, structured, and utilized across the organization. Collaborating closely with executives, Product, Engineering, GTM, and G&A teams, you will uncover significant trends related to strategic initiatives, product analytics, and overall business performance. This unique opportunity allows you to create modern, scalable analytics systems and develop impactful data insights for a rapidly evolving team.Your Responsibilities Include:Overseeing business intelligence reporting across the organization, including the development of dashboards to monitor ongoing KPIs and performing ad-hoc analyses to explore critical questions.Collaborating with cross-functional teams to grasp business priorities and orchestrate the data pipeline necessary for delivering essential data-driven insights.Assisting in the design and tracking of OKRs, visualizing data, and analyzing performance to ultimately influence strategy and roadmaps.

Join us in making a difference! We’re hiring! At GoFundMe, we pride ourselves on being the world’s leading platform dedicated to empowering individuals and communities to support one another. By bringing together people and nonprofits, we facilitate a safe and easy way for individuals to seek and provide help, having collectively raised over $40 billion since our inception in 2010. We are in search of a talented Data Science Manager who will architect and spearhead the future of marketing data science at GoFundMe. This pivotal role involves developing and scaling applied data science and AI frameworks that enable our Marketing, Growth, and Finance teams to make informed, ROI-positive investment choices. You will function as both a leader and mentor within a skilled team of data scientists, driving innovation while ensuring high standards of delivery. Candidates for this role must be located in the San Francisco Bay Area, with an in-office presence required three times a week. Your Responsibilities: Establish a robust AI and data science infrastructure: Design scalable data pipelines, reusable modeling frameworks, and reliable experimentation platforms to support critical marketing and growth decisions. Lead comprehensive data science and AI initiatives: Oversee projects from initial requirements gathering through to feature engineering, modeling, validation, deployment, and ongoing monitoring. Set best practices: Advocate for standards in model governance, reproducibility, data quality, and system reliability, ensuring sustainable and trustworthy AI integration. Innovate in marketing science: Utilize advanced methodologies such as causal inference, uplift modeling, multi-touch attribution, and media mix modeling to derive insights and enhance spending effectiveness. Enhance forecasting and ROI modeling: Develop budget allocation frameworks and predictive models that inform long-term planning and marketing efficiency. Collaborate across departments: Partner with leaders from Marketing, Growth, Product, Engineering, and Finance to synchronize analytics initiatives with revenue objectives. Invest in talent development: Mentor and guide a high-performing team of data scientists, fostering a culture of technical excellence, curiosity, and practical innovation. Push the boundaries of applied AI in marketing: Assess emerging generative and predictive AI techniques for audience segmentation, creative optimization, personalization, and enhancing campaign efficiency.

Join Lyft as a Data Science Manager in our Mapping team, where you'll play a crucial role in shaping the future of transportation. You'll lead a talented team of data scientists, leveraging data to enhance our mapping platform and improve user experiences.In this dynamic environment, you will collaborate with cross-functional teams to derive insights from vast datasets, develop innovative solutions, and drive strategic initiatives. Your leadership will empower your team to explore new approaches in data science, making a significant impact on our products and services.

Join OpenAI's Integrity Data Science team, where our mission revolves around the responsible deployment of powerful AI technologies. We are dedicated to ensuring that our users can trust our products by developing measurement systems, experimental practices, and strategies to detect and mitigate misuse, fraud, and evolving adversarial behaviors.As we expand the scope and urgency of our Integrity initiatives across various product surfaces and market strategies, we are seeking a passionate Data Science Manager. In this role, you will play a pivotal role in scaling our team, enhancing execution across multiple Integrity domains, and fostering collaboration with Product, Engineering, Operations, and related teams (e.g., Growth, Ads).This position is located at our San Francisco headquarters (in-office).

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.

Whatnot is a livestream shopping platform connecting buyers and sellers across North America and Europe. The marketplace covers a wide range of categories, from trading cards and electronics to fashion and live plants. Sellers use the platform to build businesses, while the team works to shape the future of live commerce in Western markets without relying on a set formula. The company operates as a remote-first organization, with co-located hubs in the US, UK, Ireland, Poland, Germany, and Australia. Agility and a focus on user needs drive the team’s approach, with projects chosen for their measurable impact. Whatnot has been recognized among the fastest growing marketplaces and was ranked #1 Best Startup Employer in America by Forbes. For more about the team and values, visit the careers page, the news blog, or the engineering blog.

SentiLink specializes in pioneering identity and risk management solutions that enable organizations and individuals to conduct transactions with assurance. We are revolutionizing the identity verification landscape in the United States by providing solutions that are significantly faster, smarter, and more reliable than traditional methods.Our rapid growth is a testament to our innovative approach, with real-time APIs that have successfully verified hundreds of millions of identities, initially within the financial services sector and expanding into diverse markets. Backed by leading investors like Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin, we are poised for continued expansion.SentiLink has received accolades from notable media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and has been featured on the Forbes Fintech 50 list since 2023. We have also made history by being the first company to implement the eCBSV and have testified before the United States House of Representatives regarding the future of identity.At SentiLink, we offer flexible work arrangements including fully remote, hybrid, and in-office options. We function as a digital-first organization with robust collaboration across teams in the U.S. and India, maintaining physical offices in key cities including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram and Bengaluru in India. We encourage those near our offices to engage regularly with their teams in person, particularly for roles designed to be hybrid or in-office.Role:As a Data Science Manager at SentiLink, you will lead a dynamic team of skilled data scientists focused on developing our product suite that identifies fraudulent activities and enhances our offerings in financial risk management. You will serve as a pivotal technical leader and mentor, guiding your team while also taking ownership of your domain within the organization. Leverage your data science expertise to challenge and inspire your team to excel. Your projects will carry significant visibility and impact, requiring innovative solutions and strategic thinking.

Whatnot is seeking a Data Science Manager in San Francisco, CA. This position centers on guiding a team that uses data to inform decisions and support the growth of a large-scale livestream shopping marketplace. The role calls for someone who can lead with clarity, encourage innovation, and keep the team focused on results that matter to the business. Role overview The Data Science Manager will play a key part in shaping the future of live commerce at Whatnot. The work involves supporting a team of data scientists, fostering a collaborative environment, and ensuring that data insights translate into real impact for buyers, sellers, and the platform as a whole. What you will do Guide and mentor a team of data scientists to deliver actionable insights Promote a culture of innovation and experimentation Work closely with product and business teams to drive data-informed strategies Keep the team aligned with company goals and user needs Requirements Experience leading data science teams Ability to inspire and motivate others Strong focus on delivering outcomes that support business growth Whatnot’s headquarters are in San Francisco, and the company operates with a distributed team across several countries. The culture values rapid product development, close connections with users, and work that makes a difference. Learn more about Whatnot’s core values, recent marketplace growth, and see why Forbes named Whatnot the #1 Best Startup Employer in America. For more insights, visit the company news and engineering blogs.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance landscape for our members with innovative, mobile-first technology. As a next-generation financial services provider and national bank, we are at the forefront of an industry undergoing significant transformation. Our work directly impacts people's lives, guided by our core values. Invest in yourself, your career, and the financial world by joining us.The Role:We are seeking a Senior Data Science Manager to lead our Data Science team in enhancing SoFi’s capabilities across our SIPS divisions. This pivotal role will utilize your analytical, engineering, and leadership skills to guide a high-impact team of Data Scientists.As a data leader, you will balance immediate data requests with high-quality project delivery to key stakeholders, implementing a repeatable data-informed strategy. You will foster a culture of technical ownership, establish high standards for performance, and mentor individual contributors while ensuring the team meets its objectives.Collaboration is key as you will work alongside teams across engineering, product management, marketing, design, operations, finance, risk, legal, compliance, and executive leadership to define business goals, develop product strategies, and prioritize feature execution.

Role Overview Notion Labs Inc. is hiring a Data Engineer focused on People Analytics in San Francisco, California. This position centers on building data solutions that help the company understand workforce trends and support people-focused initiatives. What You Will Do Work with teams across the company to gather requirements for people analytics projects. Design data models tailored to workforce and HR data. Develop and maintain ETL processes to ensure reliable, high-quality data pipelines for people-related analytics. Impact Your data engineering skills will help Notion gain deeper insights into workforce dynamics and contribute to improving the employee experience.

Founded in 2007, Airbnb has transformed the travel experience, connecting over 5 million hosts with more than 2 billion guests worldwide. We strive to offer unique accommodations and experiences, enabling authentic connections with local communities.Join Our Community:As a leader in the travel and hospitality sector, Airbnb's mission is to foster a sense of belonging for everyone, everywhere. As we expand our offerings into new marketplaces, we're seeking innovative individuals to contribute to our growth and success.Your Impact:We are in search of a Senior Manager for Advanced Analytics to enhance our supply quality and guest engagement. Reporting directly to the Director of Advanced Analytics, you will collaborate with senior stakeholders across diverse teams to lead a forward-thinking team dedicated to providing data-driven insights and developing tools for effective marketplace management. The ideal candidate will combine business acumen with data science expertise.A Day in the Life:Lead and nurture a high-performing, geographically distributed team, promoting a culture of innovation, agility, growth, and collaboration.Drive analytical excellence through advanced data analysis, statistical modeling, experimentation, and metric frameworks.Act as a crucial analytics partner to senior stakeholders, delivering insights that inform strategic decisions while ensuring clear communication and alignment on analytics initiatives.Collaborate with teams such as Strategic Finance, Data Engineering, Data Science, and Product Marketing, as well as other cross-functional teams.Create meaningful metrics and KPIs to assess performance and drive improvements.

Role Overview Abridge is hiring a Senior Manager, Data Science, based in the San Francisco office. This leadership role guides a team of data scientists focused on building impactful analytical models and shaping data-driven strategies. What You Will Do Lead and mentor a team of data scientists, supporting their growth and project success Oversee the design and implementation of advanced analytical models Work closely with cross-functional groups to strengthen product features and improve user experience Champion data-driven decision making across teams Location This role is based in Abridge's San Francisco office.