Senior Data Scientist, Lyft
Inference, Rider
$144-180k
More information about location
3 days a week in office
Ride sharing company
Open for applications
Ride sharing company
1001+ employees
Open for applications
$144-180k
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're looking for execution-oriented scientists who are passionate about solving challenging problems with data and mathematical models, and are excited about working in a fast-paced, innovative environment
- M.S. or Ph.D. in Economics, Statistics, or other quantitative fields
- 4+ years of professional experience for PhDs or 6+ years for Master’s in a data scientist role
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency with Python, or another interpreted programming language like R or Matlab
- Familiar with SQL - able to write structured and efficient queries on large data sets
- Advanced causal inference and ML techniques
- Ability to collaborate and communicate with others to solve a problem
- Strong oral and written communication skills, and ability to collaborate with cross-functional partners
What the job involves
- Data Science is at the heart of Lyft’s products and decision-making
- As a member of the Rider 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 ridesharing
- We are looking for a Data Scientist - Algorithms with chops in Economics, Statistics, or other quantitative fields to join the Rider Segments team
- In it, you will leverage data, analytical thinking, and rigorous machine learning and causal modeling to bring to life zero-to-one products tailored to our most impactful and strategic rider segments and their use cases
- You will bring a quantitative mindset to decision-making in partnership with engineers, product, business, and marketing stakeholders across organizations and drive roadmaps to create products solving the needs of millions of riders
- You will report to a Data Science Manager in the Rider team
- Lead other scientists and partner with cross-functional leads in the rider segments team or external teams across driver, marketplace and business to frame problems mathematically and drive business impact
- Perform exploratory data analysis to gain a deeper understanding of problems
- Develop and fit statistical, causal and machine learning models
- Design, implement and analyze experiments or leverage other causal methodologies to measure performance
- Communicate findings and facilitate launch decisions
- Develop causal measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
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
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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