Senior Data Science Manager

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.

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

Join Checkr as a Senior Data Science Manager, focusing on driving revenue and growth through data-driven insights and innovative strategies. You will lead a talented team of data scientists to analyze complex datasets, develop predictive models, and implement solutions that enhance business performance. If you are passionate about leveraging data to influence key business decisions and thrive in a fast-paced environment, we want to hear from you!

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.

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.

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.

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).

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.

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.

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.

Databricks is seeking an experienced Senior Manager of Infrastructure Data Science to redefine our infrastructure landscape through innovative data science solutions. In this pivotal role, you will confront complex challenges encompassing capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and enhancing customer experience. You will lead a talented team of data scientists and collaborate closely with engineering leaders to provide actionable data-driven insights and solutions.At Databricks, our passion lies in empowering data teams to tackle the world's most pressing challenges, from cybersecurity threat detection to advancements in cancer treatment. We achieve this by developing and managing a cutting-edge data and AI infrastructure platform, enabling our customers to concentrate on the high-impact challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly evolved from a small office in Berkeley, CA to a global powerhouse with over 7,000 employees. Thousands of organizations, from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, making us one of the fastest-growing SaaS companies worldwide.Our engineering teams are dedicated to creating highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for customer success on our platform.

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.

Join Headway as a Senior Manager in Data Science, focusing on Patient Growth. In this strategic role, you will lead a talented team dedicated to leveraging data-driven insights to enhance patient engagement and drive growth initiatives.Your responsibilities will include developing sophisticated analytical strategies, overseeing the execution of data projects, and collaborating with cross-functional teams to optimize patient acquisition efforts. You will be instrumental in shaping the direction of our data initiatives and ensuring alignment with organizational goals.

Bugcrowd is hiring a Manager to lead its AI and Data Science team. This fully remote role is open to candidates based in the US. The position centers on building and improving data-driven and AI-powered systems that support offensive security efforts. Role overview The AI and Data Science Team Manager will spend the majority of their time on technical direction, working closely with a skilled group of engineers. The focus is on designing scalable data pipelines and developing predictive models that address complex cybersecurity challenges. Collaboration is key, as the team works together to create next-generation AI-driven security products. What you will do Set and communicate the technical vision for the AI and Data Science team Guide engineers in building scalable data pipelines Oversee the training and deployment of predictive models to solve cybersecurity problems Collaborate on developing proactive, AI-driven security products Requirements Strong technical background in AI and Data Engineering Experience leading or managing technical teams Ability to direct projects focused on offensive security and predictive modeling Interest in developing scalable, data-driven systems for cybersecurity Location This position is remote and open to candidates located in the United States.

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.

About FaireFaire is a dynamic online wholesale marketplace committed to the belief that the future is local. Independent retailers around the globe are generating more revenue than major corporations like Walmart and Amazon combined, yet they often lack the visibility and resources to compete. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Imagine your favorite local boutique—our platform helps them uncover the finest products from around the globe to offer in their stores. With our innovative tools and insights, we strive to level the playing field, enabling small businesses everywhere to thrive against the giants of retail.By championing the growth of independent businesses, Faire not only supports local economies but also creates a positive economic impact on communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in our mission to empower the shop local movement. If you share our belief in community, we invite you to become part of ours.About this role:At Faire, we leverage cutting-edge machine learning and data insights to transform the wholesale industry, equipping local retailers to compete with e-commerce behemoths. Our team of skilled data scientists and machine learning engineers is dedicated to crafting algorithmic solutions for search, personalization, recommendation systems, and ranking. Our mission is to empower local retail businesses with the necessary tools for success.The Data Science team plays a crucial role in creating and maintaining a variety of algorithms and models that drive our marketplace. We are committed to developing machine learning models that support our customers' growth.We have several openings available in the Data organization.Search: Experience with GenAI and LLMs for search optimization, query understanding, retrieval, and ranking is preferred.Personalization: Experience in personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit, and diversification is a plus.Retailer Growth: Experience in developing machine learning solutions to enhance growth through paid marketing bidding, targeting efficiency, and sitemap optimization is preferred.Retailer Products: Experience with predictive modeling, Redshift, and Mode Analytics is advantageous.

Internship Dates: June 1, 2026 – August 21, 2026Location: United States Role overview Airbnb’s Core Data Science team is seeking a Data Science Intern (PhD) for Summer 2026. This team addresses complex business questions through data research, modeling, and empirical analysis, with a focus on scientific innovation and practical improvements to the Airbnb platform. The internship centers on the Trip Intelligence working group, which develops and enhances the GSAT model, an AI-driven system that measures guest satisfaction using diverse data sources. What you will do Review academic research to find ways to incorporate active learning into existing models Investigate new approaches for dataset labeling to support model training and evaluation Build and test an active learning pipeline for the GSAT model, then analyze its performance Experiment with techniques to improve label quality, including using LLM labeling agents Internship experience This internship offers practical experience with Generative AI and the opportunity to work on projects that directly affect Airbnb’s guest experience. Interns will engage in exploratory research and gain insight into industry data science practices.