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Job description
Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.
Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique marketplaces with special considerations and dynamics. As a Data Scientist on the Airports team, you will collaborate with engineering, product, design, and operations to think critically about the current airport experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems at airports such as:
How do we efficiently match drivers and riders at the airport to reduce wait times?
Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an airport ride at all times of the day?
How can we develop a technical model to predict ride wait times and communicate this to drivers?
What is the most helpful way to display ride information to drivers so they can make informed decisions?
Responsibilities
Leverage data and analytic frameworks to identify opportunities for growth and efficiency
Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
Construct and fit statistical, machine learning, or optimization models
Design and analyze online experiments; communicate results and act on launch decisions
Develop analytical frameworks to monitor business and product performance
Establish metrics that measure the health of our products, the business, as well as the driver experience
Experience
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
3+ years of industry experience in a data science, analytics, or management consulting role.
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
Proficiency in SQL and Python
Strong oral and written communication skills, and ability to collaborate with cross‑functional partners
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. #Hybrid
The expected base pay range for this position in the San Francisco area is $124,000 - $155,000. 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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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.