Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for PhD students who are passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.
At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.
As a Data Science Intern on the Decisions: Inference track, you will work on designing and analyzing tests in our dynamic marketplace, estimating statistical and machine learning models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. We expect candidates to have strong probability skills and statistical rigor, knowledge of causal inference, and familiarity with advanced modeling techniques from fields such as econometrics, statistics, and machine learning.
You will report into a Science Manager.
Benefits are available for Lyft team members who work 30 or more hours per week. Please request information about benefits available to team members who work 29 hours or less per week.
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 is work-from-anywhere in the U.S., excluding U.S. territories.
The base salary range for this position in the US is $47/hour - $61/hour. 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.