Staff Data Scientist, Lyft
Decisions, Partnership, Loyalty & Pay
$176-220k
More information about location
3+ days a week in office
Ride sharing company
Posted today
Ride sharing company
1001+ employees
Posted today
$176-220k
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
- Degree in a quantitative field (e.g., Stats, Econ, Math, CS) at the Master's or PhD level, or equivalent professional expertise in high-impact environments
- 6+ years of professional experience in data science, with a history of implementing causal models that result in tangible business value
- Subject matter expertise in the realms of causal inference, machine learning, and experimental design
- Sharp product sense and practical experience utilizing various causal methodologies
- Technical mastery of Python and SQL for data analysis and modeling
- Experience crafting sophisticated measurement frameworks, including counterfactual analysis and advanced experimentation to determine true incrementality
- Capability to unite cross-org partners, influence technical systems, and challenge existing scientific premises to steer product vision
- Strong communication skills to explain complex scientific results and the balance between velocity and rigor to executives and peers
- Proven track record of managing ambiguous problem spaces and converting broad business needs into structured scientific roadmaps
- Dedication to mentoring fellow scientists, raising the bar for technical excellence, and setting standards for modeling and reasoning
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
- As a Staff Data Scientist, Decisions on the Partnership, Loyalty & Pay (PLP) team within Rider, you will leverage data and apply analytical thinking and causal inference to shape our rider and partner product vision, and make business decisions that put our customers first
- You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team's decisions
- You will partner closely with product, engineering, design, research, marketing, and business development to deliver programs end-to-end
- You will also collaborate and build alignment with adjacent teams across Rider, Marketplace, and Finance to balance driver, rider, and business needs
- Drive the data science roadmap across the Partnership, Loyalty, and Pay teams
- Be a primary participant in defining team goals and setting the priorities of projects for the team to address
- Partner with org leads in product, engineering, UX research, design, marketing, and business development to initiate, design, develop, and scale zero-to-one programs and drive business strategy through data-centric recommendations
- Define and maintain key objectives and metrics to align with the overarching goals of Rider, Marketplace, and Lyft - including incrementality measurement for partnerships, retention impact of loyalty programs, and health of Pay products
- Apply modeling, advanced analytics, experimentation, and causal inference techniques (e.g. , A/B testing, difference-in-differences, synthetic control, quasi-experimental methods) to drive decision-making at Lyft
- Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations to VP and C-level stakeholders
- Advise teams on best practices
- Be a thought leader and go-to expert on measurement, incrementality, and causal inference for PLP stakeholders and dependency teams
- Provide technical guidance and mentorship to junior and mid-level team members on solution design and implementation; lead code reviews and elevate team-wide technical standards
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 trialled 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, whilst the acquisition of European competitor Freenow could add 6 million new riders to its platform in 2026.
Steph
Company Specialist at Welcome to the Jungle
Insights
-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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