New York, NYUSAgreenhouse2026-08-25
Warum echter KI-Job: The role explicitly requires a data scientist to perform statistical analysis, experimentation, and predictive modeling to drive business impact. The description highlights the use of AI-assisted approaches for analysis.
Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping bus…
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Gusto · New York, NY - Hybrid, San Francisco, CA - Hybrid
85/100
New York, NY - Hybrid, San Francisco, CA - HybridUSAgreenhouse2026-08-25
Warum echter KI-Job: The role explicitly requires applying advanced statistical methods, causal inference, experimentation and AI-assisted analytics. The job description focuses on leveraging data science to drive strategic decisions and build products.
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small business…
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San Francisco HQUSAFullTimeashby2026-08-25
Warum echter KI-Job: The role explicitly focuses on data science to drive product development, build metrics, and perform analysis. Mentions of experimentation, ML prototypes, and causal inference further solidify the AI core.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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San FranciscoUSAgreenhouse2026-08-25
Warum echter KI-Job: The role explicitly requires expertise in data science techniques (causal inference, A/B testing) to drive product strategy and experimentation. The focus is on building models and analyses that directly impact Reddit's core business.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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Glean · Mountain View, CA (HQ), San Francisco, CA
85/100
Mountain View, CA (HQ), San Francisco, CAUSAgreenhouse2026-08-25
Warum echter KI-Job: The role is focused on using data science to drive growth and engagement with an AI-powered product. The tasks involve building measurement systems, analyzing user behavior, and conducting experiments – all core data science activities directly tied to the su…
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…
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Glean · Mountain View, CA (HQ), San Francisco, CA
85/100
Mountain View, CA (HQ), San Francisco, CAUSAgreenhouse2026-08-25
Warum echter KI-Job: The role is explicitly focused on using data science to drive growth and engagement with an AI-powered product. The tasks involve building measurement systems, analyzing user behavior, and conducting experiments – all core data science activities applied dire…
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…
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San Francisco, CAUSAgreenhouse2026-08-25
Warum echter KI-Job: The role focuses on data science applied directly to a rapidly scaling AI platform, involving measurement, analysis, and modeling to drive commercial strategy. The company's core business is AI, and the position is deeply embedded within that context.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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San Francisco, CAUSAgreenhouse2026-08-25
Warum echter KI-Job: The role is explicitly focused on using data science to support policy work related to AI, analyzing product usage data, and understanding the impact of AI systems. The candidate will apply causal inference and data analysis techniques to inform policy positi…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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San FranciscoUSAFullTimeashby2026-08-25
Warum echter KI-Job: The role explicitly focuses on building and deploying data science solutions (models, dashboards) to optimize workplace operations. The emphasis on 'AI-native analytics', 'agentic dashboards' and leveraging data from various sources for forecasting/optimizati…
About the Role We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s real estate and workplace operations. Our work is grounded in understanding how pe…
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San FranciscoUSAFullTimeashby2026-08-25
Warum echter KI-Job: The role is explicitly focused on data science within the FinEng team at OpenAI, directly impacting revenue and customer experience through analytics and experimentation. The job description emphasizes building metrics, designing experiments, and using data t…
ABOUT THE TEAM OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for Op…
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