Latest Data Science jobs at Lyft

Data science interns develop optimization, machine learning, or statistical models for Lyft’s marketplace and transportation platform. The role involves exploratory analysis, production modeling, experimentation, and communicating findings while pursuing a master’s or PhD in a relevant field.

Data Science Interns develop optimization, machine learning, and statistical models, analyze marketplace data, and run experiments in collaboration with engineering and product teams. Applicants must be pursuing a master’s or PhD and have Python experience.

The Data Scientist develops statistical, machine learning, and optimization models, analyzes experiments and observational data, and partners with engineering and product teams to deploy algorithms and guide launch decisions. Requires a master’s degree and at least two years of relevant experience.

The Data Scientist will develop and productionize algorithms for routing, travel-time estimation, and traffic detection using geospatial, behavioral, and mobility data. The role requires 3+ years of production machine learning or data science experience and strong quantitative expertise.

The Data Scientist will use experimentation, statistical analysis, and large-scale data to improve Lyft’s airport marketplace, identify growth opportunities, and guide product decisions. The role requires 4–6+ years of data science or analytics experience, strong SQL and Python skills, and effective cross-functional communication.

Design and deploy optimization algorithms and incentive systems that improve driver engagement, marketplace efficiency, and earnings. The role partners with product, engineering, and operations teams and requires Python, quantitative modeling, experimentation, and at least two years of relevant experience.

Applies causal inference, experimentation, and causal machine learning to optimize AI-powered customer support, concession allocation, retention, and operational tradeoffs. Requires at least two years of relevant industry experience plus a master's degree in a quantitative field or a relevant PhD.

Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.

Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.

Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.

Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.