Data Scientist, Decisions LUS
Job Description
Description
Data Scientist, Lyft Urban Solutions
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 to help chart 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.
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; guidefacilitate launch decisions
Experience:
- 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 , or another interpreted programming language like R
- Ability to collaborate and communicate with others to solve a problem
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings
Company
Lyft
Location
Toronto
Country
Canada
Salary
150.000
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