Staff Applied Scientist
LyftRide-sharing company
San Francisco, United States$193,600 - $242,000Lead
CapitalG
Fidelity Investments
Andreessen Horowitz
Data & AI
About the role
TL;DR
Develop mathematical models and launch algorithms for pricing and ETA decisions.
- •As an Applied Scientist specializing in Machine Learning and Operations Research at Lyft, you will develop mathematical models and launch algorithms that power key pricing and ETA decisions.
- •You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience.
- •Key Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code.
- •Design, build and deploy production-grade ML and Optimization models.
- •Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
- •Evaluate machine learning systems against business goals and collaborate with Engineers to implement algorithms in live systems.
- •Establish metrics and development measurement methodologies to monitor the health of our products.
- •Requirements M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields 2+ years of algorithms experience in a technology company setting Proficiency with Python and working in a production coding environment Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem
Required skills
Pythonscikit-learnSQL
Nice-to-have skills
TensorFlowPyTorchKerasPandasNumPy
Domain expertise
logisticstravel
Benefits & perks
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, Discretionary paid time off, 15 days paid time off, 18 weeks of paid parental leave, Subsidized commuter benefits, Monthly Lyft credits and complimentary Lyft Pink membership
Tech stack
PythonTensorFlowPyTorchscikit-learnSQL