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Overview This Senior Data Scientist will drive causal and machine learning-based analyses to measure the impact of product features on user behavior, engagement, and business outcomes, translating results into clear, actionable recommendations. The role partners closely with product, analytics engineering, and fellow data scientists to build in-house causal inference tools, define KPIs, build production-ready analytical workflows, and deliver high-quality, governed visualizations. Success in this role requires strong statistical judgment, experience with product-driven ML, and a focus on... more ->
As a Senior Data Scientist for Product Intelligence, you will architect the analytical foundation for how fal builds and grows. Your domain spans the entirety of the developer journey-from initial acquisition to long-term expansion. You will turn raw behavioral and system signals into the metrics and insights that shape our product roadmap and go-to-market strategy. This is a high-influence role where you will act as a strategic partner to Product, Engineering, and Marketing. Beyond domain-specific analysis, you will share ownership of the foundational data systems, standards, and... more ->
Overview Cupertino, California, United States Software and Services We are looking for a Senior Data Scientist to define how we measure the success and reliability of Apple Intelligence and Siri software. This role connects feature delivery, on-device telemetry, and data insights to help teams understand real user experience and make better engineering decisions using trusted metrics. You will design product health metrics and ensure measurement is built into every feature from the start. The ideal candidate is a full-stack data scientist with strong engineering instincts and clear data... more ->
Slack is looking for a data scientist to join our Business Data Science team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is a strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact. The Business Data Science team is focused on helping executives and other key decision makers across the company make better decisions using data. We work closely with Data Engineering and Product... more ->
Overview We're hiring a Staff Data Scientist to partner with our Partnerships team and Finance as a proactive thought leader. The Partnerships team builds and scales acquisition and ecosystem relationships with partner companies, integrating experiences and co-marketing to drive measurable growth, margin, and customer value. You'll develop metrics, experiments, and models that power partner onboarding, standardized measurement, pricing strategy, and performance optimization. You'll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to... more ->
Overview Come join the QB Live Data Science team as a Staff Data Scientist. Our team works cross functionally to improve and accelerate decision-making across the Expert Segment by surfacing data, insights, and strategic thinking that address our most critical customer and business problems. The Expert Segment's goal is to connect small businesses with expert guidance to help them run their operations more effectively, from education on bookkeeping to enabling insightful reporting on the platform. This role offers the opportunity to shape how data drives decision-making for a critical segment... more ->
Senior Product Data Scientist, Product, App Safety Engineering corporate_fare Google place Mountain View, CA, USA Apply Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (eg, Python, R, SQL), or 5 years of experience with an advanced degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. About the... more ->
Principal Associate, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of... more ->
Overview Come join the Global Business Solutions Group (GBSG) Sales Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we understand, grow, and retain our customer base. You will leverage data-driven insights to guide sales strategies, improve customer retention, optimize churn prevention, and enhance targeting efforts. The ideal candidate thrives at the intersection of data science and business strategy, collaborating closely with sales, marketing, and product teams to drive measurable impact on revenue growth and customer success. This is a high-impact... more ->
About The Role Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Role overview : Senior Data Scientist (Machine Learning) responsible for developing innovative models that affect millions of users in the fintech space. You will work with experienced Machine Learning Scientists and collaborate with peers on problems in fraud detection, risk modeling, personalization, operations, and causal inference. About the Data Science Team Varo's Data Science Team develops Machine Learning models... more ->
Overview Principal Associate, Data Scientist - NLP Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale,... more ->
Overview Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different... more ->
Why Harvey At Harvey, we're transforming how legal and professional services operate - not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for... more ->