Data Scientist at Mixpanel | San Francisco

Discover OktaOkta is recognized as the global leader in identity management. We empower individuals to securely leverage any technology across devices and applications. Our versatile products, including the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation, placing identity at the forefront of security and business growth.At Okta, we value diverse perspectives and experiences. We seek individuals who embrace continuous learning and can enrich our team with their unique backgrounds.Join us in creating a world where identity is yours.Join the Technology, Data, and Intelligence TeamAs the leading independent identity provider, Okta's Technology, Data, and Intelligence (TDI) organization is crucial in enabling our global workforce with the technology and systems that enhance productivity.The Staff Data Scientist RoleWe are on the lookout for a Staff Product Data Scientist to become an integral part of our Data & Insights team. This role will spearhead the strategy, development, and implementation of advanced analytics and machine learning solutions that drive data intelligence for Okta’s Product Management teams, revealing actionable insights into customer behavior, product usage, and growth opportunities to shape our product development strategy. You will outline the long-term roadmap for data science while collaborating closely with Okta’s diverse Product Management teams and executive leadership.Your Responsibilities IncludeStrategic Product Influence: Work closely with Product Managers and leadership to deliver insights that will shape product strategy and roadmaps, ensuring that decisions are data-driven.Advanced Analytics and Modeling: Design and implement statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to anticipate user behavior and identify growth opportunities.Insight Generation: Conduct extensive exploratory analyses on large and complex datasets to identify key drivers of user engagement and uncover opportunities for significant product enhancements.Collaboration with Data Ecosystem: Partner with data engineering, analytics engineering, and data analysts to refine and enhance the data ecosystem.

Okta secures digital identity for both AI and human users, building infrastructure that helps organizations adapt to new challenges. The company focuses on solving complex problems that have a real impact for its customers. The Pricing Strategy team partners with Product, Finance, Sales, and Operations to define how Okta packages, prices, and monetizes its products worldwide. This group blends strategy with analytics, using market trends and customer data to develop recommendations that influence executive decisions and field execution. Role overview The Principal Data Scientist, Pricing Strategy, reports to the Head of Pricing Strategy. This position leads analytics projects that shape pricing and packaging strategies across Okta’s product portfolio. The role combines quantitative analysis with strategic thinking, developing measurement methods, building and deploying models, and running test-and-learn programs to guide monetization. Collaboration with senior leaders in Product and Go-to-Market teams is essential, turning open-ended questions into actionable insights and scalable plans. What you will do Strategic Pricing Influence: Work with Product, Go-to-Market, and Finance leaders to shape pricing, packaging, and discount strategies using data-driven insights. Advanced Analytics and Modeling: Build and apply models and analytical frameworks to forecast pricing effects, predict customer behavior, and estimate revenue outcomes across regions and segments. Experimentation and Pilots: Design and evaluate pilots and test-and-learn initiatives for new pricing strategies, including defining success metrics and evaluation methods. Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance. Metrics and Dashboards: Develop dashboards and reports that clearly communicate findings to stakeholders. Location This position is based in Bellevue, Washington or San Francisco, California.

About Okta Okta secures identity for both people and AI. The team builds trusted, neutral infrastructure so organizations can adopt AI with confidence. Okta’s mission centers on making identity the foundation for this new era. Role Overview Okta is hiring a Senior Product Manager for AI Agents in San Francisco. This role focuses on shaping the future of identity and security for AI-driven systems. As AI agents increasingly act on behalf of people and organizations, strong identity, permissions, and audit trails become essential. What You Will Do Define and build a new product area around authentication, authorization, and governance for AI agents. Work directly with technologies such as Agent-to-Agent connectivity, MCP servers, and autonomous agents. Collaborate with teams across Okta to deliver solutions that secure automated workflows. Help set the direction for Okta’s "Okta for AI Agents" product line. What We Look For Experience working at the intersection of Identity, Security, and Artificial Intelligence. Comfort with complex, high-impact challenges. Ability to thrive in a fast-moving environment. Commitment to delivering high-quality, hands-on work. Strong collaboration skills across technical and product teams. This is a chance to help define a product area with real-world impact and shape how organizations secure AI-powered workflows.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.

Join Windfall, a pioneering people data and AI company, where data science is at the heart of our mission. We are dedicated to transforming how organizations understand and leverage people data by equipping leading commercial and nonprofit partners with precise, actionable predictive models.We are seeking a product-focused Senior or Staff Data Scientist to be part of our Modeling & AI team. In this pivotal role, you will directly influence customer success by developing custom propensity models that tackle our clients' most pressing challenges. Collaborating closely with customer data and Windfall's extensive data resources, you will craft innovative solutions and create comprehensive modeling pipelines that convert data into tangible value.This position offers a unique chance to witness your contributions in action, working hand-in-hand with our clients to develop a range of models, from sophisticated marketing and lead scoring to donation likelihood models that enhance the missions of the world's leading nonprofit organizations.

Join the Okta FamilyAt Okta, we are redefining identity management for the digital world. Our mission is to empower everyone to securely access any technology, anywhere, on any device or application. With our versatile Okta Platform and Auth0 Platform, we provide unparalleled security and automation, making identity the cornerstone of business security and expansion.We value diverse perspectives and experiences; we seek lifelong learners who can contribute to our mission with their unique backgrounds. Be a part of our journey to build an identity-centric future.The Global AI Engineering TeamBecome part of a unified global AI engineering team that spans across the US and India. Engage in pioneering applied AI projects while laying the foundational elements that facilitate secure, scalable AI at an enterprise level. If your passion lies in creating AI that is smarter, faster, and perpetually secure, this is your chance to make a significant impact.The Staff Software Engineer OpportunityWe are looking for a Staff Software Engineer to join our global AI Engineering team, focused on building the future of secure, enterprise-grade AI Agents. You will be instrumental in designing and developing user-friendly experiences and comprehensive AI solutions that drive them. In this position, you will help shape the platforms and services that support Okta’s internal transformation, contributing to the infrastructure and applications that bring intelligent automation and GenAI to fruition.

About DecagonDecagon stands at the forefront of conversational AI, enabling brands to create unparalleled concierge customer experiences.Our innovative technology empowers leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to harness AI agents that facilitate personalized and highly engaging interactions across various channels, including voice, chat, email, and SMS.We envision a future where customer experience transcends traditional support methods, offering quicker solutions, enriched dialogues, and more profound connections. Backed by elite investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.At Decagon, we thrive in an office environment that champions collaboration, excellence, and rapid progress. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our team dynamics and growth.About the RoleIn your role as a Senior Data Scientist at Decagon, you will apply rigorous technical expertise to analyze, test, and leverage data across our business operations. You will design experiments, utilize advanced statistical techniques, and construct scalable analytical frameworks to directly influence product strategy and enhance corporate performance.You will collaborate with Engineering and Product teams to implement robust measurement practices, promote data-driven decision-making, and derive insights that will guide Decagon’s future direction. This position requires a blend of analytical excellence and product insight, with the capacity to impact decisions at the highest organizational levels.In this role, you willDevelop and manage foundational datasets and metrics that reflect usage, performance, and efficiency across Decagon's AI platform.Enhance and expand Decagon’s data models, metrics, and dashboards to ensure coherent and scalable reporting across various teams.Collaborate closely with Engineering to inform strategy using data—identifying potential bottlenecks and scaling challenges before they escalate.Partner with Product and Engineering teams to integrate experimentation and measurement best practices into product development processes.Continuously refine Decagon’s data stack, ensuring efficient models, pipelines, and tools that enable self-service analytics across the organization.

About AbridgeAbridge, established in 2018, is dedicated to enhancing understanding within the healthcare sector. Our innovative AI-driven platform is specifically designed for medical dialogues, streamlining clinical documentation processes while allowing clinicians to prioritize what truly matters—their patients.Our enterprise-level technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrated with electronic medical records (EMRs). With our Linked Evidence and uniquely auditable AI, we are the sole provider that aligns AI-generated summaries with ground truth, enabling healthcare providers to quickly trust and verify the information produced. As trailblazers in generative AI for healthcare, we are setting the benchmark for the ethical use of AI across health systems.We comprise a diverse and expanding team of practicing MDs, AI experts, PhDs, creatives, technologists, and engineers all committed to empowering individuals and simplifying care. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleOur generative AI-driven products are transforming the medical field, and we are seeking a highly driven Senior Data Scientist to become a vital part of our expanding US-based Data Science & BI team. Your contributions will significantly shape product strategy and directly affect how healthcare practitioners interact with patient data.What You'll DoData Analysis and Insight GenerationExtract valuable insights and recognize trends and patterns pertinent to our business and product by gathering, cleaning, and analyzing both internal and external data.Maintain comprehensive visibility and comprehension of our AI generation pipelines, from internal quality metrics to automated evaluations in production.Investigate and rectify issues identified through data operations monitors, tools, and reports.Advanced Data ModelingUser Behavior Modeling: Analyze user interactions, engagement metrics, and funnel analyses to identify patterns and insights for product enhancement and feature development. Data-driven approaches are crucial for boosting user engagement and retention.A/B Testing: Design and interpret A/B tests to assess the efficacy of product features and design modifications.AI Model Evaluation: Evaluate and enhance AI models to ensure superior performance and accuracy.

Join Okta as a Staff Software Engineer in Test for the PAM team. We are looking for a talented engineer who possesses a passion for software quality and testing. In this role, you will be responsible for designing, implementing, and maintaining automated testing frameworks that ensure the reliability and performance of our products. Collaborate with cross-functional teams to identify testing needs, create test plans, and drive quality initiatives across the development lifecycle.

About SemgrepSemgrep stands at the forefront of code security, empowering developers to innovate seamlessly. Our platform enables teams to identify, flag, and resolve genuine security issues before deployment, supported by an adaptive security system that evolves with their development process. Semgrep not only safeguards code in real-time but also offers essential guardrails that facilitate rapid development without compromising security. Trusted by top organizations like Snowflake, Dropbox, and Figma, we are recognized by Gartner for excellence in Application Security Testing. To learn more about our mission, visit semgrep.dev.Founded in San Francisco and backed by prominent investors including Menlo Ventures and Sequoia Capital, Semgrep is dedicated to continuous improvement, ensuring that our AI-driven system minimizes false positives and prioritizes actionable vulnerabilities. Experience the future of secure coding with us.

Join SoFi, a leading personal finance company, as a Data Scientist where you will leverage data to drive strategic decisions and enhance user experiences. In this role, you will analyze complex datasets, build predictive models, and collaborate with cross-functional teams to propel our innovative solutions forward.

About SentryAt Sentry, we believe that bad software shouldn't be the norm. Our mission is to empower developers to create better software at a faster pace, allowing us all to enjoy technology more fully.With over $217 million in funding and a community of 100,000+ organizations supporting our vision, we are dedicated to developing performance and error monitoring tools that enable companies like Disney, Microsoft, and Atlassian to minimize bug fixing and maximize product development.Embracing a hybrid work model across our global offices, we invite you to join us in the office on Mondays, Tuesdays, and Thursdays to foster meaningful collaboration. If you are passionate about building solutions that enhance the digital experience, come help us innovate the future of software monitoring tools.About the RoleThe Data Science team is an integral part of Sentry's Data & Analytics within the Business Operations organization. We are focused on leveraging data to drive smarter decisions by creating models and analytical systems that translate data into actionable insights. Our commitment is to deliver high-impact, production-ready data science projects that bolster teams across Product, GTM, and Finance.In the role of Senior Data Scientist, you will be pivotal in defining the data science framework at Sentry. You will tackle complex, ambiguous challenges, develop models that yield significant business results, and help set the standards and practices that facilitate the scalability of data science efforts. Collaborating closely with cross-functional teams will ensure that our data science initiatives are trusted, widely adopted, and impactful across the organization.If you thrive on solving challenging problems, enjoy working independently, and seek to harness data science to influence real-world decisions, we are eager to connect with you.Your ResponsibilitiesDefine a repeatable data science operating model including roadmapping, stakeholder engagement, and delivery standards.Develop and deploy predictive models that inform product and business decisions, such as customer adoption, intelligence, lead scoring, and impact measurement.Collaborate with GTM, Product, and Finance teams to integrate models into actionable workflows rather than limiting them to dashboards.Provide technical leadership, elevating the standards for data science practices at Sentry.Work alongside Data Engineering to guarantee reliable deployment of production models.Enhance the foundational elements that boost experimentation and learning over time.What You'll Appreciate About This RoleThe opportunity to shape the future of data science at Sentry.A collaborative environment that values innovation and creativity.The chance to work on meaningful projects that have a real impact on the business.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

Superhuman offers an engaging hybrid working model for this role. This flexible approach provides team members with a balance of focused time and in-person collaboration, fostering trust, innovation, and a vibrant team culture. Team members for this position must reside in the San Francisco Bay Area. About SuperhumanSuperhuman, now part of Grammarly, is an AI productivity platform dedicated to unlocking extraordinary potential in everyone. Our suite of apps and agents seamlessly integrates AI into over 1 million applications and websites, including Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that comprehends context and provides automatic assistance. Founded in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo achieve our ambitious goals, we are seeking skilled Data Scientists to join our Product and Growth Data Science teams. At Superhuman, data teams are regarded as trusted experts who reveal new insights to shape marketing, product, and growth strategies that drive significant outcomes across the organization. We have access to large datasets and are looking for individuals with exceptional technical and analytical abilities who can dissect complex business challenges and offer solutions that deliver high visibility and impactful results for the company.Growth Data Scientists collaborate closely with product, engineering, growth, and/or lifecycle marketing teams. They are tasked with designing and executing product experiments, as well as performing intricate analyses to guide product strategy through advanced analytics and machine learning. The ideal candidate will possess a proven record of delivering significant analytical projects within the Growth domain and working alongside cross-functional colleagues to influence decision-making.Product Data Scientists are responsible for assessing the quality of the Superhuman products, ensuring that our offerings are not only innovative but also user-friendly and effective.

The RoleBecome a key player in the evolution of healthcare with Hinge Health, a pioneer in crafting a patient-focused digital clinic that enhances clinical outcomes while yielding substantial financial benefits. As a seasoned Data Scientist in the ROI Identification & Measurement Pod, you will be instrumental in shaping our value proposition. Your role will extend beyond mere data analysis; you will design automated systems and predictive models that highlight our economic impact for major employers and health plans globally. If you are enthusiastic about leveraging causal inference and extensive datasets to influence company-wide strategies, this is your chance to create the

Role overview Hinge Health is seeking a Senior Data Scientist for its San Francisco headquarters. The position centers on using machine learning and data analysis to enhance digital healthcare, with a focus on musculoskeletal care solutions. What you will do Use advanced machine learning and data analysis to address healthcare problems Work closely with a collaborative team to expand and improve data capabilities Contribute to projects that support Hinge Health’s goal of improving musculoskeletal care Location This role is located at Hinge Health’s headquarters in San Francisco.

Join Mindlance as a Data Scientist, where you will leverage data to drive insights and support decision-making processes. You will be responsible for analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to enhance business strategies.

Join Metriport as a Data Scientist and be at the forefront of data-driven decision making! In this role, you will leverage advanced analytics and machine learning techniques to derive insights from complex datasets, enhancing our product offerings and driving strategic initiatives.