Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-07-15
Warum echter KI-Job: The role explicitly focuses on applying data science and causal inference to drive business decisions within a core product area (Partnership, Loyalty & Pay). Responsibilities heavily emphasize building models, designing experiments, and measuring impact – al…
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
95/100
San Francisco OfficeUSAgreenhouse2026-07-15
Warum echter KI-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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Remote CanadaUSAgreenhouse2026-07-13
Warum echter KI-Job: The role explicitly focuses on building, deploying, and maintaining machine learning models for fraud prediction. The description details tasks directly related to ML engineering practices (feature pipelines, model training, productionization, monitoring).
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting…
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United StatesUSAgreenhouse2026-07-13
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for core business functions (pricing, ranking, growth). The description heavily emphasizes data science, experimentation, and AI-driven product understanding. The required expertise…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…
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San FranciscoUSAFullTimeashby2026-07-08
Warum echter KI-Job: The role is explicitly focused on AI fairness, bias testing, and evaluation of AI-assisted systems. The job description details extensive work with ML models, data analysis, and building evaluation infrastructure. This is a core AI research and application ro…
ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid,…
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Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07
Warum echter KI-Job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…
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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…
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Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07
Warum echter KI-Job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…
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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…
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Canada, Mexico, USUSAgreenhouse2026-07-06
Warum echter KI-Job: The role explicitly requires a Data Scientist to perform advanced analytics, build models, and derive insights from customer data to drive business growth. The focus is heavily on applying data science techniques to solve business problems.
Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business grow…
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Canada, Mexico, USUSAgreenhouse2026-07-06
Warum echter KI-Job: The role explicitly requires a Data Scientist to perform advanced analytics, build models, and derive insights from customer data to drive business growth. The focus is heavily on applying data science techniques to solve business problems.
Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business grow…
Details Quelle / Bewerbung öffnen
Canada, Mexico, USUSAgreenhouse2026-07-06
Warum echter KI-Job: The role explicitly requires a Data Scientist to perform advanced analytics, build models, and derive insights from customer data to drive business growth. The focus is heavily on applying data science techniques to solve business problems.
Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business grow…
Details Quelle / Bewerbung öffnen