Data Scientist - Pricing Algorithms

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. The team provides analysis and use cases to support Product teams on building automated tools to manage growth investments.

We are looking for a Data Scientist with chops in Economics, Statistics, Machine Learning or other quantitative fields to join the Pricing vertical of the Marketplace team that is responsible for rideshare pricing. You will influence existing and future roadmaps with your data analysis, modeling and experimentation skills while building domain expertise in state of the art pricing theory. We’re looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving.

Responsibilities:

• Partner with other scientists and colleagues in the pricing team, and with external teams to frame problems mathematically and within the business context
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• 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
• Perform exploratory data analysis to gain a deeper understanding of problems

Experience:

• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• 0-3+ years of professional experience for PhDs or 2-5+ years for Master’s in a data scientist role
• Ability to collaborate and communicate with others to solve a problem
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Proficiency with Python, or another interpreted programming language like R or Matlab
• M.S. or Ph.D. in Economics, Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization

Benefits:

• 4 Floating Holidays each calendar year prorated based off of date of hire
• Mental health benefits
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Family building benefits
• 10 paid sick days per year regardless of province
• Access to a Health Care Savings Account
• In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
• Extended health and dental coverage options, along with life insurance and disability benefits

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — 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.