Staff Data Scientist, Lyft
Decisions, New Product Development
$176-220k
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
$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
- M.S. and at least 6 or Ph.D. and at least 4 years of relevant work experience
- Degree in economics, applied math, statistics, engineering or other quantitative fields; strong preference for M.S.+
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Fluency in programming, especially with data science and visualization libraries in Python or R
- Technical leadership experience with a team of decisions and algorithms data scientists, interfacing VP or C-level executives
- Experience designing and analyzing complex A/B experiments, and communicating results and recommendations to cross-functional stakeholders
- Strong oral and written communication skills (i.e, business writing, presentation building & delivery, executive briefings)
- Ability to build relationships and collaborate with senior cross-functional stakeholders to drive shared outcomes
- Experience working with ETL pipelines a plus
What the job involves
- As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and 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 products end-to-end.
- You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider and marketplace needs.
- We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing
- Drive roadmap across Rider Segments, Loyalty and Partnerships 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 and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations
- Define and maintain key objectives to align with the overarching goals of Rider, Marketplace and Lyft
- Apply modeling, advanced analytics, experimentation and causal inference techniques to drive decision-making at Lyft
- Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations
- Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams
- Provide technical guidance and mentorship to junior team members on solution design, implementation, as well as lead code reviews
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
-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
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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