Data Scientist
Qualifications
Experience Level: Mid Level
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, Engineering or other quantitative fields or related work experience
- 3+ years professional experience in a technology or transportation/logistics company setting
- Passion for solving unstructured and non-standard mathematical problems and experience building models (especially statistical and simulation - optimization is a bonus)
- End-to-end experience with data, including SQL querying, aggregation, analysis, and visualization
- Proficiency with Python, ideally including both exploratory analyses/visualizations and building models which inform ongoing decision making
- Ability to collaborate and communicate effectively with others to solve problems and align on decisions
Full Job Description
Join Lyft's Urban Solutions team as a Data Scientist in New York, NY. This full-time, hybrid role focuses on leveraging data to drive critical decisions in micromobility operations. You will tackle complex challenges in optimization, prediction, and analytics, working closely with engineers, product managers, and business partners. Responsibilities include framing business problems mathematically, conducting exploratory data analysis, developing and refining statistical and simulation models, and collaborating on the deployment and monitoring of algorithms. You will also design and analyze experiments to guide product launches and optimize capital and operational spending.
Company
Lyft
Lyft is a premier ride-hailing service headquartered in New York, NY. We provide a comprehensive suite of transportation solutions, including car rentals, bike-sharing, and scooter-sharing, all access...