Data Scientist, Lyft

Decisions, Rider Experience

$124-155k

SQL
Python
Mid and Senior level
San Francisco Bay Area

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

$124-155k

SQL
Python
Mid and Senior level
San Francisco Bay Area

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

  • We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing
  • Master or PhD degree in a quantitative field such as statistics, applied math, operations research, economics or engineering (advanced degrees preferred)
  • 3+ years experience in strategic data science roles (experience in ML modeling development is a plus)
  • Proven experience in leading high visibility projects and influencing others in a cross-functional team environment
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Strong business sense and understanding of experimentation methodologies
  • Experience in online experimentation and statistical analysis
  • Experience in programming, especially with data science and visualization libraries in Python
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional and cross-team partners

What the job involves

  • Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider 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
  • As a Data Scientist, Decisions in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first
  • You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact
  • You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization
  • You will report to a Data Science Manager in the Rider Science team
  • Lead deep dives into rider experience and marketplace data to uncover new product and business opportunities
  • Establish metrics that measure the health of our products and rider experiencePartner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and actions
  • Define experimentation best practices, design and analyze online experiments; communicate results and facilitate launch decisions
  • Facilitate and foster data-driven and informed decision making and prioritization
  • Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

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 headshot

Steph

Company Specialist at Welcome to the Jungle

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

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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