Data Scientist, Lyft

Decisions, Bikes and Scooters

$128-155k

SQL
Python
R
Mid and Senior level
New York

More information about location

3 days a week in office

Lyft

Ride sharing company

Open for applications

Lyft

Ride sharing company

1001+ employees

B2CTravelTransportMobilityRidesharing

Open for applications

$128-155k

SQL
Python
R
Mid and Senior level
New York

More information about location

3 days a week in office

1001+ employees

B2CTravelTransportMobilityRidesharing

Company mission

To improve people’s lives with the world’s best transportation.

Role

Who you are

  • M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
  • 3+ years professional experience in a technology company setting involving a product
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including SQL querying, aggregation, analysis, and visualization
  • Proficiency with Python, or another interpreted programming language like R
  • Ability to collaborate and communicate with others to solve a problem

What the job involves

  • As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation
  • Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products
  • We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in micromobility
  • As an Data Scientist on our Bikes and Scooters Supply & Operations Technology Team, you will be developing mathematical models underpinning the micromobility platform’s core services which enable efficient operations at scale
  • 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, analytics and mapping
  • We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment
  • You will report to a Data Science Manager
  • Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
  • Perform exploratory data analysis to gain a deeper understanding of the problem
  • 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
  • Analyze experimental and observational data; communicate findings; facilitate launch decisions

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

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.

Insights

Top investors

Few candidates hear
back within 2 weeks

-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

Founders

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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