Principal Data Scientist, Lyft
Algorithms, Machine Learning, Rider
$236-295k
Plus competitive equity awards and bonuses
More information about location
3 days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
$236-295k
Plus competitive equity awards and bonuses
More information about location
3 days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing
- M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields
- 10+ years professional experience in a technology company setting
- Proven experience with building and evaluating machine learning models
- Proficiency with Python and working in a production coding environment
- Past experience working as a Machine Learning Engineer is a preferred plus
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
What the job involves
- As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products
- As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in machine learning, optimization, prediction, and inference. On the Rider Data Science team, you'll work alongside diverse cross-functional partners to enhance machine learning algorithms powering content and ride recommendations, develop predictive models for long-term rider value that drive strategic decision-making across business units, and solve complex data challenges that improve experiences for millions of riders globally
- Drive the Science and Machine Learning roadmap of the team’s problem area; leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
- Construct and fit statistical, machine learning, or optimization models
- Write production modeling code; collaborate with Software Engineers to implement algorithms in production
- Design and implement both simulated and live traffic experiments
- Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams
- Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company benefits
- Great medical, dental, and vision insurance options
- Mental health 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
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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