Data Science Manager, Mapping

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.

About Faire Faire is an online wholesale marketplace focused on supporting independent retailers. By connecting small businesses with products from around the world, Faire aims to help local shops compete with major players like Walmart and Amazon. The company uses technology, data analytics, and machine learning to provide insights and tools that level the playing field for entrepreneurs everywhere. Faire’s work strengthens local economies by enabling independent businesses to thrive. The team values resourcefulness, intelligence, and a commitment to community. Those who believe in supporting local businesses will find a shared purpose here. Role Overview: Data Science Intern – Personalization & Recommender Systems This internship focuses on building and improving machine learning systems that power search, personalization, and recommendations for Faire’s marketplace. Interns will join a team dedicated to developing algorithms that help local retailers discover relevant products and compete with larger competitors. The team welcomes Master’s and PhD students with a background in recommender systems, personalization, or applied machine learning. Who We’re Looking For Strong interest in recommender systems and personalization Experience applying modern machine learning techniques to ranking or representation learning PhD candidates: a record of publications or submissions to top conferences (such as KDD, RecSys, ICML, NeurIPS, WWW, SIGIR) Master’s candidates: meaningful research projects, internships, or open-source contributions in related areas What You’ll Work On Design and build advanced recommender systems for product ranking and discovery Develop methods for user and item representation learning Collaborate with machine learning engineers to move research solutions into production Tackle personalization challenges that impact millions of recommendations each day Location San Francisco, CA

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.

Join Samba TV, a pioneering company that is redefining the global viewing experience through advanced data and technology. Our mission is to fundamentally enhance how audiences engage with streaming and broadcast video, empowering media companies to connect with viewers in innovative ways. Our unique perspective on culture is shaped by our expansive data footprint and AI-driven insights.We are looking for enthusiastic and detail-oriented interns to be part of our Measurement team. In this role, you will collaborate with Measurement Partners to explore how our solutions influence advertising decisions for our publishers and platform businesses.

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 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 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).

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.

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 Northbeam Northbeam builds marketing intelligence tools for eCommerce brands. The platform delivers a unified view of business data, with advanced attribution modeling and customizable dashboards. Clients use Northbeam to track advertising spend, understand the customer journey, and drive profitable growth. The company is growing quickly and scaling its product for broader adoption. Northbeam values motivated, collaborative professionals who care about personal growth and high standards. The team operates remotely across the US, with offices in San Francisco and Los Angeles. Data Science at Northbeam The Data Science team serves as the company’s intelligence backbone. The group owns marketing measurement and optimization, improving core methodologies like Media Mix Modeling (MMM), Incrementality testing, multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team also delivers AI-powered insights and recommendations, building scientific systems that are reusable, scalable, and validated to enhance Northbeam’s products and customer value. Director of Data Science: Role Overview Northbeam is hiring a Director of Data Science to grow and lead a structured, multi-faceted data science organization. The team’s scope includes MMM, Incrementality, Insights, and Recommendation systems. This role reports to the VP of Data Science and will help scale the team from its current size to about 10 data scientists over the next year. The Director will shape both the technical roadmap and the organizational structure, setting priorities and guiding resource allocation for maximum impact. Responsibilities include managing multiple technical initiatives in parallel, maintaining scientific rigor, ensuring production quality, and supporting effective cross-functional work. The role requires comfort with startup ambiguity, strong technical depth, and a hands-on approach to execution. Candidates who thrive in early-stage settings and enjoy building new systems will find this work rewarding. Location This is a remote position open to candidates based in the USA.

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.

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.

About AbridgeFounded in 2018, Abridge is on a mission to enhance understanding in healthcare through advanced AI technologies. Our platform is specifically designed for medical conversations, streamlining clinical documentation and allowing healthcare professionals to prioritize patient care.Our enterprise-grade technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrating with electronic medical records (EMR). With our unique Linked Evidence and auditable AI, we are the only organization that correlates AI-generated summaries with verified ground truth, enabling providers to quickly trust and validate outputs. As pioneers in generative AI within the healthcare sector, we are establishing industry benchmarks for responsible AI deployment across health systems.Our diverse team consists of practicing MDs, AI scientists, PhDs, creative thinkers, technologists, and engineers, all united in the goal of empowering individuals and making healthcare more comprehensible. We operate from multiple locations, including the Mission District in San Francisco, SoHo in New York, and East Liberty in Pittsburgh.The RoleAs the Head of Data Science at Abridge, you will spearhead the development of a premier data team, crafting and executing a robust data strategy aimed at democratizing data in the AI era and generating actionable insights. We seek a dynamic leader who is proactive, possesses a keen sense of quality, and is eager to make a significant impact while expanding our U.S.-based team.This pivotal role entails guiding the Data Science team, which will act as a central resource for insights and clarity, expediting the decision-making process. Your primary collaborators will include our Product, Engineering, and Science teams, as well as our commercial and finance departments, all working together to inform our strategic decisions.What You’ll DoIn your capacity as the leader of our data science function, your responsibilities will include:Building and leading a high-caliber team of data scientists, offering mentorship and maintaining high standards while expanding the team to over 12 members within the next year.Cultivating a collaborative and high-impact team culture that emphasizes agency, clarity of thought, and pride in authorship.Driving product strategy with data-driven insights across our evolving product portfolio, including user behavior analysis, in-depth product performance metrics, and causal inference experimentation.Collaborating with our product, strategy, and research teams to develop sophisticated data models that inform product development and strategy.

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.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and innovative software empowers over 200,000 businesses worldwide—such as Brex, Rippling, Navan, Qantas, SHEIN, and many others—with comprehensive solutions to manage business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, Airwallex boasts a diverse team of more than 2,000 talented tech professionals across 26 global offices. With a valuation of US$8 billion and support from top-tier investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, we are at the forefront of shaping the future of global payments and finance. If you're prepared to embark on the most ambitious journey of your career, we invite you to join us.