Data Scientist, Lyft
Algorithms, Rider Pricing
$124-155k
More information about location
3+ days a week in office
Ride sharing company
Open for applications
Ride sharing company
1001+ employees
Open for applications
$124-155k
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
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
- 3+ years professional experience
- Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency with Python, or another interpreted programming language like R or Matlab
- Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives
- Strong business sense and understanding of experimentation methodologies
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience in online experimentation and statistical analysis
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
What the job involves
- As a Data Scientist, you will be developing analyses, metrics, dashboards, and mathematical models underpinning the platform’s core services.
- We are looking for a Data Scientist to join the Rider Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders.
- Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs.
- Additionally, the team owns the development and maintenance of real-time and planned rider incentives with a goal of driving efficient ride growth
- The team uses a wide range of causal inference, optimization and reinforcement learning methodologies to achieve these goals
- You will report to a Data Science Manager
- 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
- 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, as well as rider and driver experience
- Provide coaching and technical guidance for the team
- Prioritize and lead deep dives into our data to uncover new product and business opportunities
- Facilitate and foster data-driven and informed decision making and prioritization
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
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
Articles
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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