
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
🕒 April 15
🏢🏡 San Francisco – Hybrid
💵 $255k - $405k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
• Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. • Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. • Proactively surface insights and opportunities to drive engagement and growth. • Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. • 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. • Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization
• At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations. • Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. • Proficiency in quantitative programming languages, such as Python and R. • Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. • Experience using business intelligence tools, such as Mode, Tableau, and Looker. • Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. • Ability to build relationships with diverse stakeholders and cultivate strong partnerships. • Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. • Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. • Best-in-class attention to detail and unwavering commitment to accuracy. • Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) • 401(k) retirement plan with employer match • 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) • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees • 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) • Mental health and wellness support • Employer-paid basic life and disability coverage • Annual learning and development stipend to fuel your professional growth • Daily meals in our offices, and meal delivery credits as eligible • Relocation support for eligible employees • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
Apply Now🕒 April 12
1 - 10
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Data Scientist leveraging advanced analytics at Koah Labs to shape product decisions and insights. Collaborate on experiments, driving impactful business recommendations through rigorous statistical modeling.
🏢🏡 San Francisco – Hybrid
💵 $180k - $250k / year
🔥 Funding within the last year
💰 $5M Seed on 2025-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🕒 April 10
11 - 50
📚 Education
☁️ SaaS
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🏢🏡 San Francisco – Hybrid
💵 $225k - $275k / year
💰 Seed Round on 2024-08
⏰ Full Time
🟠 Senior
📊 Data Scientist
🕒 April 4
10,000+ employees
📱 Media
Lead Data Scientist at Disney Entertainment & ESPN Technology driving personalization and data insights for streaming products. Leading data science initiatives and enhancing product strategies with insights.
🏢🏡 San Francisco – Hybrid
💵 $155.7k - $228.6k / year
💰 Post-IPO Debt on 2020-04
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 April 3
11 - 50
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
🕒 April 1
10,000+ employees
📱 Media
Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
🏢🏡 San Francisco – Hybrid
💵 $155.7k - $218.7k / year
💰 Post-IPO Debt on 2020-04
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor