Applied Scientist- Pricing, Dynamic Pricing & Offer Selection
Develops ML and optimization models for real-time dynamic pricing and ETA in Lyft's marketplace. Requires MS/PhD in quantitative field, 2+ years algorithms experience, Python proficiency.
About the job
Responsibilities
- Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within business context.
- Write production quality code; design, build, and deploy production-grade ML and Optimization models; build custom methods beyond off-the-shelf libraries.
- Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
- Evaluate machine learning systems against business goals; collaborate with Engineers to implement algorithms in live systems and ensure robustness.
- Establish metrics and development measurement methodologies to monitor product health and impacts on user/marketplace outcomes.
- Drive collaboration and coordination with cross-functional teams.
Experience
- 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.
- Passion for solving unstructured mathematical problems and building impactful ML models.
- Strong understanding of ML methodologies with experience building and evaluating optimization/ML models.
- Strong verbal and written communication skills with track record of collaboration.
Benefits
- Great medical, dental, vision insurance.
- Mental health, family building, child care, pet benefits.
- 401(k) with company match.
- Paid time off, 18 weeks paid parental leave.
- Subsidized commuter benefits, Lyft credits, Pink membership.
Skills
Python, Machine Learning, Operations Research, Optimization, Algorithms, Data Analysis
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