Data Science Manager

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.

SentiLink is at the forefront of revolutionizing identity verification and risk management, providing cutting-edge solutions that instill confidence in institutions and individuals alike. Our mission is to replace outdated and inefficient methods with solutions that are exponentially faster, more intelligent, and highly accurate.With rapid growth and significant traction, our real-time APIs have successfully verified hundreds of millions of identities, beginning with the financial sector and swiftly branching into diverse markets. SentiLink proudly partners with esteemed investors, including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Recognized by major publications like TechCrunch, CNBC, Bloomberg, and Forbes, we have been featured on the Forbes Fintech 50 list every year since 2023. We made history as the first company to implement the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.At SentiLink, we offer flexible work arrangements, from fully remote to in-office options. As a digital-first organization, we foster collaboration across our teams in the U.S. and India. We have physical offices in major cities across the United States, including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago, as well as in Gurugram (Delhi) and Bengaluru in India. If you reside near one of these offices, we encourage you to spend time on-site regularly, as some roles are designed to be hybrid or in-office.

SentiLink is at the forefront of revolutionizing identity verification and risk management solutions. Our mission is to empower both institutions and individuals to engage in transactions with utmost confidence. We are replacing outdated and inefficient verification processes in the United States with innovative solutions that are significantly faster, smarter, and more accurate.Our rapid growth is a testament to our success; our real-time APIs have enabled the verification of hundreds of millions of identities, initially focusing on financial services and now branching out into diverse markets. SentiLink is proudly backed by renowned investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Recognized by major media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, we have been featured on the Forbes Fintech 50 list every year since 2023. Notably, we made history as the first company to implement the eCBSV and have provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink offers flexible work arrangements, from fully remote to in-office options. As a digital-first organization, we emphasize collaboration across teams in the United States and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram (Delhi) and Bengaluru in India. If you reside near one of our offices, we encourage regular in-office attendance. Some positions are specifically designed as hybrid or in-office roles, such as our engineering team in India, which primarily operates from our Gurugram location.Role:As the Strategic Product Marketing Lead, you will take charge of the go-to-market strategy and execution for one of SentiLink’s essential products. Your primary focus will be to drive Annual Recurring Revenue (ARR) growth and enhance partner value for your designated product. You will work collaboratively at the intersection of Product, Sales, Marketing, Analytics, and Partner Success to ensure successful product launches, adoption, and scaling across our partner ecosystem. This position represents a unique opportunity to establish a category-defining go-to-market function at SentiLink.This is a remote position based in the United States.

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, enabling both institutions and individuals to engage in transactions with absolute confidence. We are revolutionizing the identity verification landscape in the United States by providing services that are not only 10 times faster, smarter, and more precise but also far less cumbersome and costly than traditional methods.Our rapid growth trajectory is a testament to the effectiveness of our real-time APIs, which have successfully verified hundreds of millions of identities. We initially focused on the financial services sector but are quickly expanding into diverse markets. SentiLink boasts a strong backing from prestigious investors, including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our innovative solutions have garnered accolades from major media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, and PYMNTS. We are proud to be featured in the Forbes Fintech 50 list annually since 2023, and to have made history as the first company to launch the eCBSV, even testifying before the United States House of Representatives regarding the future of identity verification.At SentiLink, we embrace various working arrangements, from fully remote to in-office setups. Being a digital-first organization, we foster strong collaboration among teams across the U.S. and India. Our physical offices are strategically located in cities such as Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram (Delhi) and Bengaluru in India. If you are near one of our office locations, we encourage regular office attendance, although some positions are designed to be hybrid or fully in-office, such as our engineering team in India, which primarily operates from our Gurugram office.Role Overview:We are seeking a dynamic Engineering Manager to spearhead a full-stack product engineering team. In this role, you will be instrumental in building and enhancing Intercept, SentiLink’s flagship customer-facing application. Intercept serves as the primary interface for our clients to assess risk, monitor activities, and execute actions within our platform. This team is responsible for delivering a seamless product experience—from user interface design and workflows to the backend systems that support them.In addition, you will manage two other applications (tools and dashboard) that cater to both internal teams and external users, ensuring they align with our strategic goals.

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, enabling both institutions and individuals to engage in transactions with utmost confidence. We are revolutionizing the identity verification landscape in the United States, replacing outdated, inefficient, and costly processes with solutions that are ten times faster, smarter, and more precise.Our rapid growth is a testament to our success, with our real-time APIs successfully verifying hundreds of millions of identities, initially within the financial services sector and now expanding into a multitude of markets. SentiLink is supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Recognized by prominent media outlets, including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, we have consistently been featured on the Forbes Fintech 50 list since 2023. Additionally, we made history by being the first organization to launch the eCBSV and providing testimony before the United States House of Representatives regarding the future of identity.SentiLink offers flexible work arrangements, accommodating fully remote positions as well as in-office opportunities. As a digital-first organization, we emphasize collaborative efforts across the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram (Delhi) and Bengaluru in India. If you’re situated near any of these locations, we encourage regular in-office attendance, although some roles are designed to be hybrid or fully in-office, such as our engineering team in India, primarily working from our Gurugram office.

SentiLink builds identity verification and risk management solutions for institutions and individuals across the United States. The company’s mission is to replace outdated identity verification methods with faster, smarter, and more accurate alternatives. With strong market traction, SentiLink’s real-time APIs have already verified hundreds of millions of identities. The company began in financial services and has since expanded into new sectors. SentiLink is backed by investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. Recognition includes coverage in TechCrunch, CNBC, Bloomberg, and Forbes, as well as a place on the Forbes Fintech 50 list since 2023. SentiLink was the first provider to implement eCBSV and has testified before the United States House of Representatives on the future of identity verification. The team operates with a flexible, digital-first approach. Employees can work fully remote, hybrid, or in-office across the U.S. and India, with offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram (Delhi), and Bengaluru. Regular office engagement is encouraged for those near a physical location. Role overview This is SentiLink’s first Go-to-Market (GTM) Strategy Analyst position. The role sits at the intersection of Revenue Operations, Sales, Partner Success, Marketing, Solutions Analytics, and Engineering. The analyst will develop technical frameworks to support the revenue engine, including systems, workflows, and AI-driven tools that help the GTM team work more efficiently and deliver strong experiences to banks, fintechs, and financial institutions. SentiLink’s deep understanding of partner and prospect challenges will inform the design of tools for the GTM team. The initial project will focus on building solutions that empower team members with actionable insights.

SentiLink is at the forefront of delivering groundbreaking identity verification and risk management solutions, enabling both institutions and individuals to engage in transactions with utmost assurance. We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our real-time APIs having verified hundreds of millions of identities, starting with the financial services sector and swiftly branching out into diverse markets. SentiLink is proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our accomplishments have been recognized by notable media outlets including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker. We are also honored to have been featured on the Forbes Fintech 50 list every year since 2023. In a historical milestone, we became the first company to launch the eCBSV and have provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink embraces various working styles, offering options that range from fully remote to in-office arrangements. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram (Delhi) and Bengaluru in India. If you are near one of our offices, we encourage you to join us in-person regularly. Certain roles are specifically designed to be hybrid or in-office; for instance, our engineering team in India predominantly operates from our Gurugram office.Role:We are seeking a skilled Engineering Manager to spearhead our Data Platform team, which is dedicated to building and scaling the data infrastructure that underpins SentiLink’s products and decision-making systems.This integral team is responsible for the pipelines, storage systems, and data services that empower all of our products, facilitate data analysis, and support business intelligence efforts. These systems are fundamental in detecting fraud, driving machine learning models, and delivering valuable insights to our customers.

SentiLink is at the forefront of revolutionizing identity verification and risk solutions, enabling organizations and individuals to conduct transactions with utmost confidence. Our mission is to redefine the identity verification landscape in the United States by delivering solutions that outpace traditional methods in speed, intelligence, and accuracy.With significant growth momentum, SentiLink's real-time APIs have successfully validated hundreds of millions of identities, initially within financial services and rapidly branching into diverse sectors. We are proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our innovative approach has garnered accolades from industry leaders and media outlets, including TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider. Notably, we have consistently secured a spot on the Forbes Fintech 50 list since 2023. We also made history by being the first company to launch the eCBSV and by presenting our insights to the United States House of Representatives regarding the future of identity.SentiLink embraces various work arrangements, from fully remote to on-site options. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram and Bengaluru in India. For those near our offices, we encourage regular in-office engagement, although some roles are intentionally hybrid or office-based, exemplified by our engineering team in India who primarily operates from our Gurugram 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

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, providing both individuals and institutions the ability to transact with assurance. We are revolutionizing identity verification within the United States, replacing outdated, inefficient, and costly practices with solutions that are ten times faster, smarter, and more precise.Our rapid growth is a testament to our innovative approach; our real-time APIs have successfully verified hundreds of millions of identities, initially focusing on the financial sector and quickly expanding into various new markets. SentiLink enjoys the support of prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We are proud to have received accolades from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and we have been featured in the Forbes Fintech 50 list every year since 2023. Notably, we made history as the first company to deploy the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.SentiLink accommodates a flexible work environment, ranging from fully remote positions to in-office roles. As a digital-first company, we emphasize collaboration across teams in the U.S. and India. We have physical locations in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., alongside offices in Gurugram (Delhi) and Bengaluru in India. For those near our offices, we encourage regular office attendance. Certain roles, such as our engineering team in India, are designed to be primarily in-office.Role Overview:As a Senior Applied ML Scientist at SentiLink, you will be instrumental in developing our core products: advanced models aimed at identifying fraudulent activities while enhancing our expanding array of financial risk solutions. Your expertise as a seasoned researcher will be essential, making you the authoritative figure in your domain. You will frequently engage in high-impact projects that necessitate a profound understanding of the field, critical analytical skills, and robust technical capabilities. Collaboration with various teams across the organization will be key as you investigate new fraud types, innovate product offerings, and conduct analyses to support our sales and marketing efforts.

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.

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 Stripe as a Staff Data Analyst and leverage your analytical skills to help drive data-informed decisions across the organization. You'll collaborate with various teams to analyze complex datasets, providing insights that contribute to the improvement of our products and services.

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.

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.

About the PositionJoin OpenAI as an Applied Data Scientist, focusing on the critical analysis of unit economics to drive sustainable growth and establish the company as a leader in impactful innovation.In this role, you will spearhead the creation of advanced causal inference and data science models aimed at predicting and quantifying customer lifetime value (LTV). Your ability to translate complex data insights into strategic recommendations will be crucial for guiding our growth initiatives. This position demands a blend of technical expertise and executive communication skills.This opportunity is based at our San Francisco headquarters, with a flexible hybrid work model (three days in the office per week). Relocation assistance is provided.Your VisionDevelop robust causal inference and predictive analytics capabilities to assess and forecast LTV across various customer segments (B2C and B2B), and measure the incremental effects of diverse actions or product features on customer LTV.Craft customer “happy paths” by identifying optimal adoption journeys that maximize lifetime value while ensuring customers derive the full benefits from our ecosystem.Evaluate price elasticity to inform product packaging, monetization strategies, and pricing models.Your ResponsibilitiesCollaborate with cross-functional teams (Finance, Product, Data Engineering, Go-to-Market, and other Data Science teams) to develop causal inference and predictive models that influence key business decisions.Design and maintain LTV models across various product lines and customer cohorts.Create scalable frameworks and models that make economic insights accessible to leadership and functional teams.Support strategic pricing and investment decisions with thorough analytical and causal evidence.Lead cross-functional data science initiatives, ensuring analytical precision, clarity, and timely execution.Ideal Candidate ProfileExceptional executive communication skills — ability to simplify complex analyses into clear, actionable insights for leadership.Technical proficiency — expertise in ROI analysis, causal inference, statistical modeling, and ML predictive models; strong command of Python and SQL.Strategic acumen — capacity to connect analytical insights to tangible business outcomes, providing the “so what” that drives leadership decisions.