Senior Data Scientist, Lyft
Algorithms, Central Market Management
$144-180k
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
$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
- The candidate should have strong technical abilities in ML-based forecasting / Mathematical Optimization / Causal Inference, and have a keen interest in rigorously applying these methods to financial and resource allocation problems
- M.S. or Ph.D. in Operations Research, Mathematics, Computer Science, Statistics, or other quantitative fields or related work experience
- 4+ years of hands-on experience in ML/Optimization/Causal Inference, and a strong interest in rigorously applying these methods to financial and resource allocation settings
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency with Python
- Strong ability to collaborate and communicate with others in a team setting
What the job involves
- The core of Lyft’s business is running a balanced marketplace; ensuring there are enough drivers available to fulfill rider demand. As a member of the Central Market Management team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation
- Data Scientists in Central Market Management take on a variety of problems including forecasting supply & demand in the marketplace, optimizing investments over different time-scales, measuring the return-on-investment of various growth levers, and shaping strategic business decisions
- Forecasting, machine learning (ML), inference, and optimization technologies are critical to solving these interesting and impactful problems at Lyft
- Our problems generally do not lend themselves to off-the-shelf solutions, allowing for a significant amount of creativity and first-principles mathematical reasoning
- As a Data Scientist, you’ll be hands-on with building ML models, productionalizing pipelines, and integrating their outputs within decision-making frameworks
- You’ll help develop the vision and roadmaps, lead execution of projects, work closely with partner teams to build and scale our products and systems, and deliver business goals
- The ideal candidate should balance complexity and efficiency, move fast with an entrepreneurial mindset, and be hands-on to make things happen
- Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
- Build fit-for-purpose models to address business needs
- Write production model code; collaborate with Software Engineers to implement algorithms in production
- Advise teams on best practices. Be a thought leader and go-to expert for users
- Provide coaching and technical guidance for the team
- 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
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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