Dev Global Jobs
Technology

Data Scientist

LyftSeattle, WA, United StatesFull-time$129,709 - $192,000/yearPosted Nov 1, 2026

Lyft is hiring for the position of Data Scientist in Seattle, WA, United States. It is listed as a full-time position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Lyft is hiring for the position of Data Scientist in Seattle, WA, United States. It is listed as a full-time position with hybrid working.

Reading the advert, the employer asks for 2+ years of experience.

Skills and tools named in the text include Python, statistics, MATLAB and research.

The listing gives the pay as $129,709 - $192,000/year.

Benefits mentioned in the advert: health insurance, pension or retirement plan, paid time off, parental leave and bonus.

The advert does not mention visa sponsorship. If you would move to United States for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Greenhouse on Nov 1, 2026.

Employer
Lyft
Location
Seattle, WA, United States
Work mode
hybrid
Job type
Full-time
Pay
$129,709 - $192,000/year
Experience asked
2+ years
Found
Nov 1, 2026 on Greenhouse
Employer text
475 words, about 2 min to read
Skills named in the advert
PythonstatisticsMATLABresearch
Before you apply
  • Apply only on the official page (app.careerpuck.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 2+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, statistics, MATLAB and research) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 2 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 2, 2026
Pay benchmark
Average wage, United States
$86,977 average / year

This job's listed pay is 85% above the benchmark.

This job: $129,709 to 192,000

Source: OECD Average annual wages, 2025

Work permit route
  • H-1B specialty occupation: Employer petition, bachelor's degree or higher in the specialty; annual cap and lottery
  • L-1 intracompany transferee: Employees of a related company abroad transferring to a US office
  • O-1 extraordinary ability: Evidence of extraordinary ability in sciences, arts, education, business or athletics

Official routes: USCIS

Job description

About the role

Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.

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.

01Responsibilities

  • Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
  • Perform exploratory data analysis to gain a deeper understanding of the problem.
  • Construct and fit statistical, machine learning, or optimization models.
  • Write production modeling code.
  • Collaborate with Software Engineers to implement algorithms in production.
  • Design and run both simulated and live traffic experiments.
  • Analyze experimental and observational data.
  • Communicate findings.
  • Facilitate launch decisions.

02Experience

  • Master’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field.
  • 2 years of experience in job offered, Operations Research, or related occupation.
  • Experience with solving unstructured and non-standard mathematical problems.
  • Experience with end-to-end data including querying, aggregation, analysis, and visualization.
  • Experience with Python and other programming languages such as R and MATLAB.

03Benefits

  • 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 Seattle area is $129,709 - $192,000/year. 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. #LI-DNI

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