Data Scientist - Decisions, Lyft Urban Solutions
About The Position
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. The Lyft Urban Solution team is developing the future of micromobility and is looking for a Data Scientist to inform and drive decision-making that charts the way. From New York’s Citi Bike to San Francisco’s Bay Wheels, our micromobility systems depend on smart data-informed decisions to operate efficiently and at scale. Analyses, insights, and algorithms guide both planning and operations, and we’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in micromobility. The set of problems tackled by the Lyft Urban Solutions Operations Technology Team is incredibly diverse. They cut across optimization, prediction, simulation, inference, transportation, analytics and mapping. We collaborate with and inform a wide range of stakeholders, from executives to hardware specialists to local market operations teams. We're looking for someone who is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment.
Requirements
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
- 3+ years professional experience in a technology company setting involving a product
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including SQL querying, aggregation, analysis, and visualization
- Proficiency with Python, ideally including both exploratory analyses/visualizations and building production models
- Ability to collaborate and communicate with others to solve a problem
Responsibilities
- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Develop and fit statistical, machine learning, or optimization models
- Write production model code; collaborate with Software Engineers to implement algorithms in production
- Design and implement both simulated and live experiments
- Analyze experimental and observational data; communicate findings; guide launch decisions
Benefits
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
