Lyft · San Francisco Office
90/100
San Francisco OfficeUSAgreenhouse2026-07-13
Warum echter KI-Job: The role explicitly focuses on applying data science and analytical techniques to shape product vision, build algorithms, and drive business decisions. Responsibilities heavily emphasize modeling, experimentation, and causal inference.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic e…
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Lyft · San Francisco Office
90/100
San Francisco OfficeUSAgreenhouse2026-07-13
Warum echter KI-Job: The role explicitly focuses on applying data science and analytical techniques to shape product vision, build algorithms, and drive business decisions. Responsibilities heavily emphasize modeling, experimentation, and causal inference.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic e…
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San FranciscoUSAFullTimeashby2026-06-26
Warum echter KI-Job: The role explicitly requires experience analyzing AI/LLM product performance (RAG, agentic workflows, prompt engineering) and conducting data science work in a legal technology context. The job description heavily focuses on data analysis to improve AI produc…
WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generatio…
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San FranciscoUSAFullTimeashby2026-06-17
Warum echter KI-Job: The role explicitly focuses on building and deploying AI-powered systems for fraud and abuse detection, utilizing LLMs (GPT-5) and other AI techniques. The core responsibilities revolve around data science and machine learning to solve AI safety problems.
About the Team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-…
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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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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 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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