Data Scientist, Decisions - Mapping

Sorry, this job was removed at 08:11 p.m. (CST) on Monday, Aug 04, 2025
San Francisco, CA
In-Office
Transportation
The Role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve Lyft’s in-house mapping product, Lyft Maps. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:

  • How do we design a frictionless navigation experience for rideshare drivers?
  • Are drivers able to follow our guidance? How can we categorize and prioritize navigation issues on our platform?
  • What defines a good pick-up experience between a rider and a driver? 
  • How do we benchmark and measure the success of map services?
Responsibilities
  • 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
Experience 
  • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
  • 3+ years of industry experience in a data science or analytical role 
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • Experience in programming, especially with data science and visualization libraries in Python or R
  • Experience in online experimentation and statistical analysis
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. 

Similar Jobs

CrowdStrike Logo CrowdStrike

Senior Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
CA, USA
10000 Employees
140K-215K Annually

CrowdStrike Logo CrowdStrike

Vulnerability Management Engineer (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
CA, USA
10000 Employees
100K-145K Annually

CrowdStrike Logo CrowdStrike

Vice President, Marketing Excellence & Transformation, Bay Area (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
CA, USA
10000 Employees
280K-325K Annually

Verkada Inc Logo Verkada Inc

Enterprise Account Executive

Cloud • Hardware • Security • Software
In-Office or Remote
4 Locations
2000 Employees
220K-280K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
22,282 Employees

What We Do

Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.

Similar Companies Hiring

Air Space Intelligence Thumbnail
Transportation • Software • Machine Learning • Logistics • Defense • Artificial Intelligence • Aerospace
Boston , Massachusetts
110 Employees
Blissway Thumbnail
Transportation • Software • Machine Learning • Internet of Things • Hardware • Fintech • Computer Vision
Denver, Colorado
20 Employees
Toro TMS Thumbnail
Transportation • Software • Sales • Enterprise Web • Cloud
Chicago, IL
71 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account