Aktive Jobs: 37
Lyft im AI Job Radar
Diese Unternehmensseite bündelt aktuelle KI-Rollen von Lyft, sichtbare Skill-Signale, Standorte und direkte Links zu den Originalanzeigen.
37Aktive Jobs
92.6Ø AI-Score
greenhouseQuellen
Top-Skills
Machine Learning, Python, Data Science, Statistical Modeling, Causal Inference, SQL, MLOps, Data Analysis
Standorte
Toronto Coworking, San Francisco Office, New York Office, San Francisco Office, New York Office, New York Office, San Francisco Office, Seattle Office, New York Office, Seattle Office, Seattle Office
KI-Domänen
Marketing/Growth, Ride Sharing / Logistics, Transportation, Advertising Technology
Lyft · New York Office, San Francisco Office
90/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-18
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models to solve critical business problems related to risk and claims. The responsibilities heavily emphasize data science techniques and analytical frameworks.
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. You will leverage data and rigorous, analytical thinking to s…
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Lyft · New York Office, San Francisco Office
90/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-18
Warum echter KI-Job: The role explicitly focuses on building and applying machine learning models to solve critical business problems within the risk and claims domain. The responsibilities heavily emphasize data science techniques and analytical frameworks.
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. You will leverage data and rigorous, analytical thinking to s…
Details Quelle / Bewerbung öffnen
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…
Details Quelle / Bewerbung öffnen
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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Toronto CoworkingUSAgreenhouse2026-06-28
Warum echter KI-Job: The role explicitly focuses on building and deploying statistical/optimization models, designing experiments, and leveraging data to improve products and make business decisions. The responsibilities are heavily centered around core data science tasks.
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. You will leverage data and rigorous, analytical thinking to s…
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Toronto CoworkingUSAgreenhouse2026-06-24
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for a core business function (driver incentives). Responsibilities include model construction, production code, and experiment analysis, indicating a strong AI focus.
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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology compan…
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Toronto CoworkingUSAgreenhouse2026-08-25
Warum echter KI-Job: The role explicitly requires building and deploying machine learning models for fraud detection and improving payment platforms. The responsibilities heavily focus on data analysis, experimentation, and translating insights into actionable product changes.
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. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product man…
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