Job Information
Lyft Data Scientist, Algorithms - Pricing in San Francisco, California
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
The Marketplace team at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance, and the Pricing vertical is an integral part of achieving this goal. Our team is responsible for setting the prices for every single ride at Lyft, across all rides types, in order to balance Lyft’s two-sided marketplace, which sees millions of requests each day.
We’re looking for fast learning, data and process-driven individuals who are passionate about tackling open-ended problems in pricing theory. In this role, you will work with Product and Engineering to prototype and build end-to-end pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.
Responsibilities:
Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context
Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes
Develop and fit statistical, machine learning, or optimization models
Write production model code; collaborate with Software Engineers to implement algorithms in production
Design and implement both simulated and live experiments
Analyze experimental and observational data; facilitate launch decisions
Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership
Experience:
Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields
M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields
1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a data scientist role
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets
Strong oral and written communication skills, and ability to solve problems while collaborating with cross-functional partners
Experience in causal inference, LTV modeling, or user choice modeling preferred
Benefits
Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected range of pay for this position in the San Francisco area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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