Data Scientist, Algorithms - Dynamic Pricing

Lyft•San Francisco, CA

10d•$128,000 - $160,000•Hybrid

About The Position

Lyft’s Marketplace team works to grow the business while meeting key business and financial metrics. The Dynamic Pricing & Offer Selection team uses real-time and historical data to set prices for rides, balancing price and ETA to better serve riders. The Data Scientist will work with Product and Engineering to prototype and build end-to-end dynamic pricing models that operate at scale, and use domain knowledge to influence current and future roadmaps. The role involves open-ended problems in pricing theory and aims to create a positive business impact and improve experiences for riders and drivers.

Requirements

Experience as a data scientist in machine learning, statistics, economics, or another quantitative field.
M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or another quantitative field.
1–4+ years of professional experience for Ph.D. holders, or 3–5+ years for master’s degree holders, in a Data Science role.
Passion for solving unstructured and non-standard mathematical problems.
End-to-end experience with data, including querying, aggregation, analysis, and visualization.
Proficiency in Python or another interpreted programming language such as R or Matlab.
Proficiency in SQL, including writing structured and efficient queries involving multiple large datasets.
Ability to collaborate and communicate with others to solve problems.
Strong oral and written communication skills and ability to collaborate with cross-functional partners.

Nice To Haves

Experience in causal inference, LTV modeling, econometrics, or user choice modeling.

Responsibilities

Partner with scientists, pricing colleagues, and external teams to formalize problems mathematically and in their business context.
Perform complex data analysis to understand problems and identify root causes.
Develop and fit statistical, machine learning, or optimization models.
Write production code and collaborate with Software Engineers to ship models to production.
Design and implement simulated and live experiments.
Analyze experimental and observational data and facilitate launch decisions.
Communicate findings to Product, Engineering, and executive leadership.

Benefits

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.
12 observed holidays.
Discretionary paid time off for salaried team members; hourly team members receive 15 days of paid time off.
18 weeks of paid parental leave for biological, adoptive, and foster parents.
Subsidized commuter benefits.
Monthly Lyft credits and complimentary Lyft Pink membership.
Hybrid roles may work from anywhere for up to 4 weeks per year.