Data Scientist, Algorithms

Lyft • Seattle, WA

3h • $128,000 - $160,000 • Hybrid

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.
Data Science is at the heart of Lyft’s products and decision-making. We are hiring a Data Scientist - Algorithms to join the Base Earnings team. This cross-functional team is responsible for setting pay for every Lyft rideshare ride, as well as ensuring compliance with our regulatory and policy commitments regarding pay. We seek a passionate data scientist to help create and improve our production algorithms for determining driver pay.
In this role, you will leverage your data, machine learning, optimization, experimentation, and/or inference skills to refine Lyft’s pay policies. You will also support operations and continuously monitor policy performance in production. Your technical impact will contribute directly to company-level metrics, including profit, rides completed, driver sentiment, and pickup reliability.

Requirements

• M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Economics, Computer Science, Physics, Engineering, or a similar quantitative field
• 2+ years professional experience OR a Ph.D.
• Expertise in machine learning, optimization and/or causal inference
• Proficient at writing Python code
• End-to-end experience with data, including querying, ETL, monitoring, analysis, and visualization

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
• Design and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and run both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree