Senior Marketing Data Scientist

About the TeamAt OpenAI, our mission is to ensure that artificial general intelligence (AGI) positively impacts all of humanity. The API team is crucial to this mission, empowering innovators to harness cutting-edge intelligence and transform it into impactful products, businesses, and services for people around the globe.We are dedicated to constructing the infrastructure and developer platform that facilitates this process. Our goal is to enable developers to seamlessly integrate robust AI into real-world applications, operate it safely at scale, and continuously explore new possibilities. By excelling in our roles, we don’t merely launch an API; we empower numerous teams to deliver novel capabilities to millions of users, driving innovation across various industries and communities.About the RoleAs a Data Scientist within the API team, you will be instrumental in developing measurement systems that enhance the clarity and continuous improvement of our platform. Your responsibilities will include defining essential metrics, identifying and quantifying developer challenges, evaluating product launches and platform modifications, and converting data insights into actionable product decisions that enhance reliability and developer experiences at scale.You will closely collaborate with the Product, Engineering, Research, and Finance teams to ensure our metrics are reliable, our experimentation is thorough, and our insights lead to effective improvements.This position is based in San Francisco, and we operate on a hybrid model, requiring three days in the office each week, with relocation assistance available for new hires.Key Responsibilities:Lead the development of the core KPI framework for the API platform, focusing on developer adoption, engagement, retention, and platform health.Create comprehensive funnels to identify success and obstacles faced by developers, from initial integration to production scale.Establish and operationalize platform guardrails (e.g., reliability, latency, error rates, cost-effectiveness) and correlate them with user outcomes.Design and assess experiments and rollouts to measure the effects of platform and product enhancements.Collaborate with product and engineering teams to enhance instrumentation, data quality, and metric definitions, ensuring rapid and accurate decision-making.Translate complex analytical findings into clear, actionable insights for leadership and cross-functional teams.Develop and share dashboards, tools, and self-service data products that enable teams to quickly address product inquiries.Contribute to the establishment of data science standards and best practices within the organization.

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.

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.

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.

About Our TeamAt OpenAI, our Applied team is at the forefront of integrating cutting-edge AI technologies into the daily lives of consumers and businesses worldwide. We work collaboratively across research, engineering, design, and business domains to transform innovative AI advancements into significant real-world applications. Our team has been instrumental in the successful launch of products like ChatGPT, API, and Sora. We create tools that empower developers, enhance business efficiency, and promote individual learning and creativity. As AI technologies evolve, our commitment is to ensure that our products remain safe, accessible, and beneficial for everyone.About the PositionWe are seeking a Data Scientist to join our Applied Product team, where you will play a vital role in fostering a data-driven product development culture for our consumer and enterprise offerings. Your contributions will be crucial as our products serve millions globally. You will help align research with product development to create measurable impacts for users and businesses alike.In this position, you will define key performance metrics, design and analyze A/B tests, and create comprehensive dashboards that empower teams across the organization to derive insights from product data. Most importantly, you will be an integral part of our product development team.This role is primarily based in San Francisco, CA, or Seattle, WA, operating under a hybrid work model, allowing three days in the office per week. We also provide relocation assistance for new hires.Key Responsibilities:Collaborate closely with the product development team to identify opportunities for product enhancement and growth.Design and interpret A/B tests to evaluate the effects of changes in models and user experience on our products.Foster a data-driven culture by defining and operationalizing metrics at the feature, product, and company levels.Create and promote dashboards and reports that enable the team and organization to address product data inquiries independently.Ideal Candidate Profile:5+ years of experience in a quantitative role, adept at navigating ambiguous environments, ideally with a focus on product analytics.Strong proficiency in statistical analysis and experience with data visualization tools.Excellent communication skills to convey complex data insights to diverse audiences.A passion for AI and its applications in real-world scenarios.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

The OpportunityAt Enigma, we are at a pivotal moment of growth, receiving enthusiastic feedback from our clients regarding the substantial value our product provides. This feedback drives our urgent need to effectively present the capabilities of our small business data as we expand our sales and marketing efforts.The RoleWe are seeking a skilled Senior Software Engineer to join our dynamic API and Data Delivery Team. In this position, you will be instrumental in designing, constructing, and maintaining essential systems for processing and delivering vast datasets, collaborating with both teammates and clients to address impactful, real-world challenges.What You’ll DoDevelop scalable, highly available, and high-throughput systems deployed in cloud environments.Tackle challenges involving containers, cloud infrastructure, and infrastructure as code (primarily using Docker, AWS, and Terraform).Exhibit a proactive attitude that embraces challenges, regardless of their size.Take pride in writing clean, well-tested, and maintainable code.Thrill in collaborating as part of a motivated and cohesive team.Identify and address problems that may go unnoticed by others.Be driven to create tangible impacts for our customers.Inspire your colleagues to excel while fostering a collaborative and supportive team culture.Manage responsibilities related to architecture, design decisions, hands-on implementation, team organization, and technical mentorship.What Makes This Role Exciting?Impact: Your technical expertise and decision-making will directly influence our customers and the success of our product, affecting critical choices at multi-billion dollar firms.Technical Challenge: Engage with cutting-edge technologies surrounding databases, information retrieval, distributed systems, microservices, elastic scaling, data pipelines, and more.Ownership: The API & Data Delivery team is addressing some of the world's most complex challenges. The ideal candidate is an engineer eager to expand their responsibilities and collaborate with the team to create significant technical and business impacts.

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 HockeyStack, where we are revolutionizing B2B sales and marketing through advanced AI systems.We seamlessly integrate with a multitude of tools across the go-to-market stack, merging first and third-party data to create the industry's most comprehensive event-level data foundation. Our capabilities include:Analyzing every deal won and lost to uncover revenue-driving patterns, enabling real-time guidance for sales representatives.Identifying key factors influencing the sales pipeline, providing immediate insights without the need for extensive manual analysis.Learning from every outcome and interaction, continuously improving our system's performance and accuracy.Unlike others, our structured reasoning layer ensures deterministic and self-improving agent execution. As a Y Combinator alum with a $26M Series A led by Bessemer Venture Partners, we are experiencing rapid growth with an 8-figure ARR and over 60 TB of GTM data processed. We are looking for dynamic individuals ready to succeed. This position can be based in our San Francisco HQ or be fully remote. Your MissionAs the Backend Tech Lead for the Data API team, you will design and scale our core API infrastructure, which is critical for Marketing, Sales, and Customer Success operations. You will oversee the engineering of services that manage over 60 TB of GTM data, ensuring the delivery of low-latency, high-availability APIs that provide valuable buyer insights to our internal applications and customer-facing dashboards.This is an exceptional opportunity for an engineer eager to take ownership of large-scale data and API infrastructure while fostering engineering excellence and rapid deployment in a fast-paced environment. What You’ll DoLead the design and development of APIs to share GTM data with both internal and external users.Oversee the architecture for large-scale data access patterns, focusing on performance, cost-effectiveness, and reliability.Work closely with AI, data, and frontend teams to ensure smooth integrations and clear API contracts.Address complex challenges including versioning, rate-limiting, authentication, query complexity, and cache invalidation in a rapidly evolving product landscape.

Join our dynamic team at Sonsoft Inc. as a Mulesoft Anypoint API Platform Developer! In this role, you will be responsible for designing, developing, and managing APIs using the Mulesoft Anypoint Platform. You will collaborate with cross-functional teams to ensure seamless integration of applications and data across various systems.Key responsibilities include:Developing and maintaining APIs using Mulesoft Anypoint Platform.Collaborating with stakeholders to gather requirements and deliver solutions that meet business needs.Conducting API testing and performance tuning to ensure high-quality deliverables.Providing technical support and troubleshooting for API-related issues.

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

About GustoAt Gusto, we are dedicated to empowering small businesses to flourish. Our comprehensive solutions encompass payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: serving their customers and mastering their craft. With teams located in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, while striving to cultivate a workplace that reflects and honors our diverse clientele. Discover more about our Total Rewards philosophy.About the Role:We are seeking an experienced and driven Principal Data Scientist with over 10 years of expertise to join our Product team. In this pivotal role, you will utilize your skills in experimentation, statistical inference, and causal analysis to influence strategic decision-making that propels our organizational success. The ideal candidate is a compelling data storyteller with robust statistical and programming capabilities, passionate about leveraging data to support small business growth.In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an authority on your domain's data, establish and monitor key metrics to assess business performance, and analyze our Payroll, Benefits, and HR data to extract actionable insights. Additionally, you will adopt AI-assisted methodologies to enhance analysis efficiency, improve rigor, and broaden the dissemination of insights across Gusto.We have multiple senior Data Scientist roles available at this senior level, each concentrating on various critical business areas.Here’s what you’ll do day-to-day:Strategic Leadership: Develop the analytical strategy for a significant product or business segment. Pinpoint high-impact opportunities, set long-term objectives for measurement and experimentation, and synchronize executive stakeholders on data-driven initiatives.Execution Excellence: Drive the implementation of comprehensive analytical roadmaps that influence company strategy. Ensure alignment and uphold consistent analytical rigor and metric integrity across product domains.Scaled Impact: Beyond being an expert in statistical methods and fostering impact...

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.