Principal Data Scientist at Databricks | Remote

At Plaid, we envision a future where individuals engage with their financial lives in transformative ways. Our mission is to empower this evolution by developing innovative tools and seamless experiences that thousands of developers leverage to build their unique products. Plaid serves as the backbone for millions striving for better financial health, partnering with leading companies like Venmo, SoFi, numerous Fortune 500 firms, and major banks to simplify how users connect their financial accounts to their favorite applications. With a network that spans over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid is at the forefront of the fintech industry. Established in 2013, our headquarters is located in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The Network Value Data Science team is pivotal in shaping Plaid’s industry-leading fintech consumer network by enhancing access, authorization, and usability of our users' financial data. Our team collaborates closely with product teams to drive objectives and key results (OKRs) while executing on product roadmaps. We excel at transforming ambiguous inquiries into actionable analyses, serving as analytical thought partners throughout the organization, identifying opportunities to enhance our product offerings, and advocating for a data-driven approach to decision-making.As a Data Scientist focusing on Network Enablement Access (NEA), you will play a crucial role in expanding the industry-leading fintech consumer network. Your responsibilities will include improving access to, authorization for, and usability of Plaid users' financial footprints. You will collaborate closely with embedded teams to support product goals and roadmaps, ensuring that Plaid consistently delivers trusted, innovative, and scalable solutions that empower consumers to utilize their financial data with confidence.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

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.

Join our dynamic Analytics team at DoorDash, where we are seeking an innovative Senior Lead Data Scientist to spearhead the exploration and interpretation of complex data sets. This pivotal role will help shape our global platform expansion strategies, driving informed decisions across all facets of our organization.About the TeamThe Analytics team is dedicated to leveraging advanced analytical methodologies to inform strategic initiatives and operational decisions. As a Senior Lead Data Scientist, you will play a crucial role in transforming insights into actionable strategies that contribute to DoorDash’s success.About the RoleIn this role, you will delve into intricate data analyses to tackle significant business challenges, devise and implement experiments based on your findings, and collaborate with cross-functional teams to enact meaningful operational changes. Your expertise will be crucial in enhancing our marketplace efficiencies, optimizing customer acquisition, and addressing fraud prevention among other exciting challenges.If you thrive on identifying patterns in data chaos, possess a passion for building impactful market strategies from the ground up, and have a proven track record of employing analytics to drive revenue and operational growth, we want to hear from you!Your ImpactLead and mentor a team of Data Scientists in uncovering vital business insights while also contributing as an individual expert.Shape the Product and Operations roadmap with data-driven recommendations.Engage with senior leadership to present your team's findings and address complex business challenges.Establish measurement strategies for your area, defining key performance indicators and best practices in experimental design and statistical analysis.Craft a strategic learning roadmap informed by data insights, key questions, and hypotheses.QualificationsA Master’s or Ph.D. in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.8+ years of experience in Data Science, with a focus on product analytics and operational strategies.Proficiency in statistical tools and programming languages such as Python, R, or SQL.Strong analytical mindset with a demonstrated ability to solve complex problems using data.Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

About Our TeamJoin the User Operations team at OpenAI, where we are dedicated to delivering outstanding customer experiences with our innovative products. Our team tackles complex challenges, provides expert technical guidance, and empowers customers to fully leverage our solutions. Collaborating closely with Sales, Technical Success, Product, Engineering, and other departments, we ensure a seamless experience for our diverse clientele, ranging from emerging startups to established global firms. Given the rapid pace of innovation at OpenAI, transforming our extensive support data into real-time insights and scalable analytics is vital for maintaining exceptional customer satisfaction as we move toward AGI.Role OverviewWe are looking for a proactive Support Data Scientist who will analyze user-support data to identify trends, volume patterns, and friction points, converting insights into actionable strategies and continuous reporting. You will design and maintain self-serve dashboards that provide real-time information to stakeholders, ensuring seamless collaboration with Data Science and Engineering teams for clean data pipelines, robust modeling, and scalable tools. Your work will focus on proactive friction detection and real-time service health monitoring, delivering insights that drive informed decision-making rather than just aesthetic presentations.This position is based in San Francisco, California, employing a hybrid work model with three days in the office each week. We also offer relocation assistance for new hires.Key Responsibilities:Analyze extensive support and product datasets to identify trends, key drivers, and user experience challenges, translating findings into actionable insights.Develop and maintain user-friendly self-serve dashboards and reporting tools that empower non-technical teams to address their own data inquiries.Create a standardized metrics framework for service performance, establishing automated data-sharing pipelines and scorecards with our BPO partners to maintain a unified real-time view of success.Utilize large language models (LLMs) to build custom classifiers that automatically categorize and segment incoming data, enhancing routing accuracy, enriching self-service insights, and accelerating root-cause analysis.Collaborate with Data Engineering to ensure reliable data pipelines, implement quality checks, and document processes for sustained excellence.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

Join Reddit as a Senior Data Scientist in our Consumer Insights team, where you will leverage data to shape the future of community engagement. In this pivotal role, you will identify new opportunities for user growth, enhance engagement strategies, and drive retention through data-driven insights. You will conduct exploratory analyses, guide product strategy, and spearhead innovative experiments, all while collaborating closely with cross-functional teams. Your contributions will significantly impact how millions of users connect with the content and communities they care about.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

Join Our Dynamic TeamAt OpenAI, the Strategic Finance team plays a pivotal role in driving substantial investment initiatives. We are dedicated to enhancing OpenAI's long-term success by collaborating across departments to strategically allocate resources for maximum impact. Our team works closely with Finance, Product, Engineering, and Go-To-Market divisions to provide critical insights and support strategic decisions that shape the future of our company.Your Role and ResponsibilitiesAs a key member of the Strategic Finance Data Science team, you will be instrumental in designing, developing, and managing essential models, reporting systems, and analytical frameworks. Collaborating with Finance leadership and interdisciplinary teams, you will leverage your expertise in predictive modeling and causal inference to deliver actionable insights that inform high-stakes decision-making.This position is based at our San Francisco headquarters, adopting a hybrid work model with three days in the office each week. We also offer relocation assistance to new hires.Your Key Contributions Will Include:Deeply understanding OpenAI’s data architecture and collaborating with Data Engineering and Finance teams to extract valuable insights.Developing and scaling causal inference models to evaluate the effects of various strategies on user growth and financial performance.Creating customer segmentation strategies to drive targeted growth initiatives and enhance customer lifetime value.Automating reporting and analyses through innovative data products and agentic solutions.Conducting ad hoc analyses to support product pricing and other key business decisions.Designing and presenting dashboards that empower leadership to monitor key performance indicators and make informed decisions.Leading cross-functional data science projects from inception to completion, ensuring timely and impactful delivery.Ideal Candidate Profile:Master's or PhD in a quantitative discipline, with a minimum of 7 years of experience in a data-centric role, preferably in a fast-paced, high-growth environment.Proficient in Python, SQL, Tableau, and other analytical tools.Strong analytical prowess with experience in managing and interpreting large, intricate datasets.Proven ability to translate complex data into clear, actionable insights.

Join parafin as a Data Scientist in our Underwriting team, where you will leverage data analytics to drive insights and improve decision-making processes. You will work with a collaborative team to develop predictive models that enhance our underwriting capabilities and optimize risk assessment strategies.

About TaskRabbit:TaskRabbit is a dynamic marketplace platform that seamlessly connects individuals with Taskers to take care of everyday tasks, including furniture assembly, handyman services, moving assistance, and much more.At TaskRabbit, our mission is to transform lives one task at a time. We celebrate innovation, inclusivity, and dedication. Our workplace culture is collaborative, pragmatic, and fast-paced. We're in search of talented, entrepreneurially-minded, data-driven individuals who are passionate about empowering others to pursue their passions. In partnership with IKEA, we're creating more opportunities for individuals to earn a consistent and meaningful income on their own terms by fostering lasting relationships with clients in communities worldwide.TaskRabbit operates as a hybrid company with team members distributed across the US and EU, and we are proud to be recognized as a Built In — Best Places to Work (2022, 2023, 2024) in multiple national and regional categories. Join us at TaskRabbit, where your work is impactful, your ideas are valued, and your potential is unleashed!This role follows a hybrid schedule, requiring two days of in-office collaboration each week. You can work from either our San Francisco office or our new New York City office, set to open in April 2026.

Join our dynamic team as a Lead Data Scientist at brisk-teaching, where you will spearhead innovative data-driven projects that empower learners and educators alike. In this pivotal role, you will leverage your expertise in statistical analysis, machine learning, and data visualization to derive actionable insights from complex datasets.

Join SoFi as a Senior Data Scientist in our Credit Strategy team, where you will leverage data-driven insights to enhance our lending strategies and improve customer experiences. You will be responsible for developing advanced analytical models, utilizing machine learning techniques, and collaborating with cross-functional teams to drive data-centric decisions.

About the TeamJoin the Business Data Science team at OpenAI, where we leverage data and analytics to enhance business performance, stimulate growth, and cultivate substantial partnerships. Our mission is to ensure the successful and impactful advancement of OpenAI initiatives, maximizing the benefits of AGI for all of humanity. We collaborate closely with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth teams.About the RoleAs a vital member of our Business Data Science team, you will play a crucial role in fostering a data-driven culture at OpenAI, focused on generating insights, informing decision-making, and shaping strategy. Your primary focus will be on enhancing customer success with our business products, including ChatGPT Team, ChatGPT Enterprise, and API. You will engage in projects that identify opportunities for customer lifecycle interventions, target audiences for new feature launches, and assess the effectiveness of communications and events intended to boost ongoing product engagement.This position is based in San Francisco, CA, utilizing a hybrid work model of three days per week in the office, with relocation assistance available for new hires.Key ResponsibilitiesWork closely with our Customer Success organization to explore innovative methods for enhancing customer adoption and engagement with our business products.Define key performance indicators, conduct experiments, and analyze data to evaluate the effectiveness of our initiatives in driving adoption and engagement.Proactively identify insights and opportunities that can contribute to engagement and business growth.Develop tools and systems for stakeholders to access routine data and insights independently, allowing for more impactful analyses.Become proficient in OpenAI’s data and systems. Collaborate with Data Engineering, Finance, and additional business teams to independently source all foundational data and extract valuable insights.Partner with fellow data scientists across the organization to share knowledge and continuously synthesize learnings.QualificationsA minimum of 7 years of experience in Data Science roles within fast-paced, results-oriented organizations.Proficiency in statistical analysis and causal inference, with practical application in data-driven strategies.

About tvScientifictvScientific is the premier CTV advertising platform specifically designed for performance marketers. By harnessing extensive data and innovative science, we automate and enhance TV advertising to achieve tangible business results. Our integrated solution encompasses media buying, optimization, measurement, and attribution, all within a single, efficient platform. Developed by industry veterans with deep experience in programmatic advertising, digital media, and ad verification, our platform provides advertisers with the trust they need to scale their business.As a vital member of our Data Science team, you will transform data into actionable insights, influence business strategies, and lead analytics projects from start to finish. Your daily responsibilities will include crafting tailored reporting and analytics tools to address the specific needs of our clients.

Axon Enterprise develops devices and cloud software aimed at improving safety and justice. Teams value honesty, compassion, and diverse perspectives, working together to make a meaningful impact. The company encourages initiative and personal growth, recognizing the importance of each person’s contribution. Role overview The Principal Data Scientist will join the Office of the Chief Accounting Officer in San Francisco. This position blends technical data science work with strategic collaboration across finance and technology groups. A strong background in finance and accounting is required for success in this role. Main focus Half of the role involves building data analytics tools and pipelines, using AI to speed up large-scale projects such as mergers and acquisitions integration, ERP deployments, data remediation, and SOX compliance. The other half centers on partnering with Controllership, Finance Operations, FP&A, Internal Audit, and Technology to lay the groundwork for AI, automation, and audit readiness. Daily tasks will include using AI-assisted development tools, such as code generation and large language models. Key responsibilities Design and implement data analytics tools, automated validation frameworks, and dashboards to provide Finance Operations and Controllership with real-time insights into data quality across enterprise systems. Use AI to quickly prototype, test, and deploy these solutions. Collaborate with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to address data issues at their source and improve upstream data integrity. Maintain data dictionaries, lineage documentation, and quality scorecards for core controllership data assets. Set and enforce standards for master data management (MDM). Work with the Chief Information Officer and IT to develop integration strategies that enable seamless data flow.

About Our TeamJoin our dynamic infrastructure team at OpenAI, where we are dedicated to delivering cutting-edge AI models and products to a global audience. Our mission is to scale our infrastructure effectively, transforming demand into efficient computing power. We collaborate with experts in research, engineering, design, and business to translate innovative AI developments into impactful real-world solutions. Our team ensures optimal computing resources are available at the right time and place, supporting some of the most demanding workloads globally. By empowering OpenAI's products and research with robust infrastructure, we enable reliable and scalable launches of new models and products.About the RoleAs a Data Scientist within the Infrastructure team, you will be instrumental in shaping the scalable framework that underpins OpenAI’s products and research initiatives. Operating one of the largest and most sophisticated compute fleets worldwide, your role is crucial in supporting millions of users and businesses. You will align metrics, planning, scalability, allocation, and efficiency of infrastructure to ensure measurable impact across the organization.In this role, you will define foundational datasets for infrastructure resources, develop insightful metrics that inform key decisions, build forecasting and optimization models, and create source-of-truth dashboards and analytics that empower teams to enhance infrastructure utilization. You will collaborate closely with engineering, research, and product teams to help drive the infrastructure strategy that supports all OpenAI initiatives.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also provide relocation assistance for new team members.Key Responsibilities:Develop and maintain key datasets and metrics that accurately reflect infrastructure usage, efficiency, and growth.Create forecasting and optimization models to enhance infrastructure planning and resource allocation.Collaborate with engineering, research, and product teams to inform infrastructure strategies through data-driven insights.Deliver clarity through dashboards and analyses that guide infrastructure decision-making across OpenAI.You Will Excel in This Role If You Possess:A minimum of 5 years of experience in a quantitative position, adept at navigating complex, ambiguous environments, preferably within infrastructure, systems, or platform domains in high-growth companies or research organizations.Proven experience in defining and operationalizing data-driven strategies and metrics.