Data Analysis Jobs – Page 7

Why this is a real AI job: The role explicitly focuses on developing and implementing machine learning models and algorithms for a core product feature (ride matching and fulfillment). The responsibilities heavily emphasize data science tasks like model building, experimentation, and a…

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 central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in…

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Why this is a real AI job: The role explicitly focuses on developing and implementing machine learning models and algorithms for a core product feature (ride matching and fulfillment). The responsibilities heavily emphasize data science tasks like model building, experimentation, and a…

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 central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in…

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Why this is a real AI job: The position explicitly focuses on applying generative AI to smart grids and energy systems, indicating a core AI research role.

PhD Position - Generative AI for Smart Grids and Energy Systems Physiker/in

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Why this is a real AI job: Die Masterarbeit konzentriert sich direkt auf die automatisierte Bewertung generativer KI, was einen klaren und zentralen KI-Fokus darstellt.

Master Thesis Automated Generative AI Evaluation (f/m/x) Informatiker/in

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Why this is a real AI job: The role is explicitly focused on developing and improving LLM evaluation methods, benchmarks, and infrastructure. The core responsibilities revolve around pushing the state-of-the-art in LLM evaluation, building tools for analysis, and working with LLM judge…

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe th…

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Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for payment risk and fraud detection, working across the entire model development lifecycle. The description emphasizes leveraging unique datasets to identify high-impact ML opportu…

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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Why this is a real AI job: The job title explicitly mentions 'Data Scientist' and the description focuses on the field of autonomous driving, which heavily relies on AI/ML for perception, planning, and control. This indicates a core AI role.

Data Scientist (Master/Uni-Diplom/TH) (m/w/d) im Bereich autonomes Fahren Informatiker/in

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Why this is a real AI job: The role explicitly focuses on applying data science and causal inference techniques to drive business decisions within the Partnership, Loyalty & Pay teams. Responsibilities heavily emphasize modeling, experimentation, and measurement – core AI/ML activities.

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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Why this is a real AI job: Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science hin. Es wird erwartet, dass die Aufgaben überwiegend datenwissenschaftliche Modellierung und Analyse umfassen.

Data Scientist (m/w/d) Data Scientist

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Why this is a real AI job: The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety systems, and quantifying safety risks. The tasks directly involve applying data science and ML techniques to address core AI safet…

ABOUT THE TEAM OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protectin…

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