FAQs
What is the role of a Data Scientist in the Fulfillment team at Lyft?
The Data Scientist on the Fulfillment team develops mathematical models for optimizing rideshare supply and demand in real time, collaborates with cross-functional teams, and works on improving user experiences for Lyft Riders and Drivers.
What qualifications are required for this position?
Candidates need a M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or a related quantitative field, along with 2+ years of professional experience in a technology company setting.
What programming skills are necessary for this role?
Proficiency in Python and experience working in a production coding environment are required.
Is experience with machine learning models necessary?
Yes, proven experience with building and evaluating machine learning models is a key requirement for this position.
What kind of analytical work will I perform as a Data Scientist at Lyft?
You will perform exploratory data analysis, construct statistical and machine learning models, and analyze experimental and observational data to inform business decisions.
What is the expected work schedule for this position?
This role follows a hybrid schedule, with team members expected to work in the office three days per week on Mondays, Wednesdays, and Thursdays.
Are there any specific benefits offered to Lyft employees?
Yes, benefits include medical, dental, and vision insurance, mental health benefits, family-building benefits, childcare and pet benefits, a 401(k) plan, paid time off, and Lyft Pink, among others.
How does Lyft approach inclusivity in hiring?
Lyft is committed to an inclusive workplace that fosters belonging, ensuring all qualified applicants receive consideration for employment without regard to various protected characteristics.
Is there any flexibility for working remotely?
Yes, hybrid roles have the flexibility to work from anywhere for up to four weeks per year.
What are the expected salary ranges for this position?
The expected base pay range for this position in the New York City area is $128,000 - $160,000, depending on qualifications, experience, and geographic location.
