Data Scientist, Preparedness

About Our TeamThe Safety Systems team is committed to ensuring the safety, robustness, and reliability of AI models in real-world applications. By leveraging years of practical alignment and applied safety efforts, this team addresses emerging safety challenges and develops innovative solutions to facilitate the secure deployment of our advanced models and future AGI, ensuring that AI is both beneficial and trustworthy.Discover more about OpenAI’s safety initiativesAbout the PositionAs a Data Scientist within the Safety Systems team, you will spearhead a data-driven methodology for analyzing, evaluating, and overseeing the safety of our production systems. You will collaborate with various partners across the organization to define key metrics, develop and implement statistical methods to operationalize these metrics, analyze the effects of our products, and create comprehensive dashboards that serve as a reliable source of truth for addressing safety-related inquiries. Most importantly, you will play a pivotal role in the Safety Systems team, working closely with researchers and engineers to further our mission of establishing safe, robust, and reliable AI.This position is based at our headquarters in San Francisco, and we provide relocation assistance for new employees.Key Responsibilities:Lead initiatives to assess and quantify the real-world safety impacts of OpenAI’s existing and upcoming products.Explore novel approaches to enhance our methodologies for measuring and mitigating harm and abuse.Develop and execute statistical methods necessary for the operationalization of safety metrics.Provide strategic direction and project coordination within the realm of safety.Foster a data-driven culture in Safety Systems by defining, tracking, and operationalizing metrics at the feature, product, and company levels.Create and share dashboards, reports, and tools that empower the team and the organization to independently address safety-related questions.Construct a safety data flywheel and supply safety research with production insights and data for training and evaluation.

Join Databricks, where we are dedicated to creating the most advanced and secure platform for data and AI. Our commitment to innovation drives us to develop cutting-edge solutions in security, compliance, and governance.As a vital member of the Trust and Safety Data Science team, you will engage in projects that are essential for maintaining the security and regulatory compliance of the Databricks Platform. Our clients rely on Databricks to safeguard their data while managing millions of virtual machines across three clouds in numerous regions worldwide.Our engineering teams design highly sophisticated products that address significant real-world challenges. We continuously strive to push the limits of data and AI technology, all while ensuring the security and scalability that are crucial for our customers' success on our platform. We cater to a diverse array of companies with different security and compliance needs. Understanding how our customers utilize our existing features is imperative, involving comprehensive, data-driven analysis of all facets of Databricks' security programs.Customers entrust us with their most critical data, and our mission is to establish the most reliable data analytics and machine learning platform globally. We are expanding our Trust and Safety Data Science team and seek talented individuals to join our group of “full stack” data scientists. Collaborating closely with engineering and security teams, you will focus on strategic initiatives that enhance the security and safety of Databricks for our clients. Our team employs advanced statistical and machine learning techniques to detect fraud and abuse across our platforms, utilizing state-of-the-art methodologies. For insights into our initiatives, check out our blog post. Engaging in fraud and abuse detection is dynamic and crucial, offering you a chance to significantly impact the security and efficiency of business operations.For further information, please visit https://www.databricks.com/trust.

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 Role At Scale AI, we are pioneering the future of Generative AI and enhancing human-AI collaboration. As a member of the Gen AI Ops Trust and Safety team, you will play a crucial role in safeguarding contributor integrity within a vast marketplace that encompasses hundreds of thousands of contributors involved in training foundational models. We are in search of a data-driven Data Science Lead who thrives in a fast-paced environment, possesses a systemic thinking approach, and seamlessly integrates AI coding tools into their daily workflow. This position offers a high degree of autonomy. You will be responsible for the end-to-end development of fraud and abuse detection models — from defining labels to feature engineering, training, evaluation, and final deployment in production. Collaborating within a compact team, you will achieve remarkable velocity by combining keen analytical insights with AI-enhanced development techniques (using tools like Cursor and Claude Code). If you have previously encountered limitations in teams that operate slowly or differentiate between 'analysis' and 'building', this role is designed to bridge that gap completely.

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.

About the TeamThe Applied Foundations team at OpenAI is focused on ensuring our innovative technology remains secure against a range of adversarial threats. We are committed to safeguarding the integrity of our platforms as they expand. Our team plays a crucial role in defending against financial abuse, large-scale attacks, and various forms of misuse that could compromise user experience or operational stability.The Integrity pillar within Applied Foundations is tasked with developing robust systems that identify and respond to harmful actors and activities on OpenAI’s platforms. As these systems evolve to address significant usage harms, we are seeking skilled data scientists to accurately measure the prevalence of these issues and assess the effectiveness of our responses.About the RoleWe are in search of experienced trust and safety data scientists who can enhance, operationalize, and oversee the measurement of complex actor- and network-level harms. The selected data scientist will be responsible for measurement and metrics across various established harm verticals, including estimating the prevalence of on-platform (and occasionally off-platform) harm, while also conducting analyses to uncover gaps and opportunities in our responses.This position is based in our San Francisco or New York office and may require addressing urgent escalations outside of regular working hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise disturbing material.In this role, you will:Lead measurement and quantitative analysis for a range of severe, actor- and network-based usage harm verticals.Develop and apply AI-first methodologies for prevalence measurement and other standardized safety metrics, potentially incorporating off-platform indicators and non-traditional datasets.Create metrics that can be utilized for goal-setting or A/B testing where traditional prevalence or top-line metrics may not apply.Manage dashboards and metrics reporting for harm verticals.Perform analyses and generate insights to guide improvements in review, detection, and enforcement processes, while influencing strategic roadmaps.Optimize LLM prompts specifically for measurement purposes.Collaborate with other safety teams to identify key safety issues and develop relevant policies to address safety needs.Provide metrics for leadership to support informed decision-making.

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.

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

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.