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SeniorFull-timePythonMachine LearningData ScienceGo
Salary Range
$143,650 - $194,350 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist specializing in Algorithms to join our cross-functional team at Lyft. This role involves developing mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time.
Key Responsibilities
- →Drive the Science and Machine Learning roadmap of the team’s problem area
- →Partner with Engineers, Product Managers, and Business Partners to frame problems
- →Perform exploratory data analysis to gain a deeper understanding of the problem
- →Construct and fit statistical, machine learning, or optimization models
- →Write production modeling code and collaborate with Software Engineers to implement algorithms in production
- →Design and implement both simulated and live traffic experiments
- →Analyze experimental and observational data; communicate findings; facilitate launch decisions
- →Develop measurement methodologies to monitor the health of our products
- →Drive collaboration and coordination with cross-functional teams
- →Advise teams on best practices and be a thought leader for stakeholders
Requirements
- ✓M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields
- ✓4+ years professional experience in a technology company setting
- ✓Proven experience with building and evaluating machine learning models
- ✓Proficiency with Python and working in a production coding environment
- ✓End-to-end experience with data, including querying, aggregation, analysis, and visualization
- ✓Strong oral and written communication skills
Benefits
- ★Great medical, dental, and vision insurance options
- ★Mental health benefits
- ★Family building benefits
- ★Child care and pet benefits
- ★401(k) plan
- ★Paid time off and parental leave
- ★Subsidized commuter benefits
- ★Lyft Pink program access
