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We are dedicated to identifying emerging abuse trends, analysing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI&#39;s overarching goal of developing AI that benefits humanity.</p>\n<p><strong>About the role</strong></p>\n<p>We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive. We’re building an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to—then review, edit, and approve with confidence.</p>\n<p><strong>About the Role</strong></p>\n<p>As the Data Scientist for ChatGPT for Work, you’ll shape product strategy through data: uncover the user problems most worth solving, form sharp hypotheses about what will move team and business outcomes, and influence what we build next by presenting compelling recommendations grounded in rigorous evidence. You’ll be the DRI for the Work <strong>insight → strategy → experiment → decision</strong> loop—defining what “success” means for teams, pinpointing the highest-leverage adoption and retention bottlenecks, and turning signals into clear product direction.</p>\n<p>You’ll partner closely with Product, Engineering, Research, and Finance to ensure our metrics are trusted, our experimentation is rigorous, and our insights turn into shipped improvements.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.</li>\n</ul>\n<ul>\n<li>Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.</li>\n</ul>\n<ul>\n<li>Define and operationalize “time-to-value” and collaboration loop metrics, and connect them to business outcomes.</li>\n</ul>\n<ul>\n<li>Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.</li>\n</ul>\n<ul>\n<li>Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.</li>\n</ul>\n<ul>\n<li>Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.</li>\n</ul>\n<ul>\n<li>Help establish data science standards and best practices for measuring human–AI collaboration and AI-native work outcomes.</li>\n</ul>\n<ul>\n<li>Partner with other data scientists across the company to share learnings and raise the bar on measurement, experimentation, and decision-making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in data science / analytics in in high-velocity product environments</li>\n</ul>\n<ul>\n<li>Direct experience working on B2B products (SaaS, collaboration/workspace, developer tools, or enterprise)</li>\n</ul>\n<ul>\n<li>Expert SQL + strong Python</li>\n</ul>\n<ul>\n<li>Strong experimentation + causal inference judgment (incl. when clean A/B tests aren’t feasible)</li>\n</ul>\n<ul>\n<li>Strong product sense/taste: can turn messy signals into crisp hypotheses and roadmap direction</li>\n</ul>\n<ul>\n<li>Proven ability to inspire and influence PM/Eng/Design + leadership through data storytelling</li>\n</ul>\n<ul>\n<li>Autonomous operator who sets the insights/measurement agenda</li>\n</ul>\n<ul>\n<li>Excellent executive communication; 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.</p>\n<p><strong>About the Role</strong></p>\n<p>As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation &amp; onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.</li>\n</ul>\n<ul>\n<li>Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.</li>\n</ul>\n<ul>\n<li>Proactively surface insights and opportunities to drive engagement and growth.</li>\n</ul>\n<ul>\n<li>Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.</li>\n</ul>\n<ul>\n<li>Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.</li>\n</ul>\n<ul>\n<li>Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.</li>\n</ul>\n<ul>\n<li>Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.</li>\n</ul>\n<ul>\n<li>Proficiency in quantitative programming languages, such as Python and R.</li>\n</ul>\n<ul>\n<li>Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.</li>\n</ul>\n<ul>\n<li>Experience using business intelligence tools, such as Mode, Tableau, and Looker.</li>\n</ul>\n<ul>\n<li>Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.</li>\n</ul>\n<ul>\n<li>Ability to build relationships with diverse stakeholders and cultivate strong partnerships.</li>\n</ul>\n<ul>\n<li>Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.</li>\n</ul>\n<ul>\n<li>Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.</li>\n</ul>\n<ul>\n<li>Best-in-class attention to detail and unwavering commitment to accuracy.</li>\n</ul>\n<ul>\n<li>Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.</p>\n<p>This role is based in San Francisco, CA. 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Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. 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