Lyft logo

Data Scientist

Lyft

NEW YORK, NY · HybridJob$148–222K/yrSeen 2 days agoSeen in employer's feed 2 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$148–222K/yr
Location
NEW YORK, NYHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Lyft seeks a Data Scientist to frame business and mathematical problems, analyze data, build statistical and machine learning models, and develop production modeling code. The role includes designing experiments, evaluating experimental and observational data, communicating findings, and supporting launch decisions. Candidates need a relevant master's degree and two years of experience in the offered job, operations research, or a related occupation.

Skills & qualifications

RequiredNice to have

Skills

Metrics CreationGrowth MonitoringStatisticsMachine LearningCausal InferenceData ForecastingData PipelinesOptimization ModelingInference ModelingPredictive ModelingProduction CodingMATLABRPython

Qualifications

Master's in Business Analytics, Data Science, or Related2 Years' Related Experience

Full job description

Job Duties: 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. Requirements: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field and 2 years of experience in job offered, operations research, or related occupation. Any amount of experience in the additional requirements below will be acceptable unless specific amount is noted. Additional requirements: Prior academic background or work experience to include: 1. Experience creating metrics and analytical tools to track and monitor growth; 2. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines; 3. Experience with building and evaluating optimization and inference models, and predictive modeling; and 4. Experience with writing production quality computer code and using MATLAB, R, and Python. Salary: $148,000 - $222,000/year Job Location: New York, NY - Hybrid work schedule How to Apply: Visit https://job-boards.greenhouse.io/opportunities-lyft and search job #111268. Lyft is an equal opportunity and affirmative action employer.

How this job compares

Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$148–222K/yr
  • New York median$150–210K/yr363 salary ranges
  • US median$135–213K/yr3,705 salary ranges

This range's midpoint, $185K, is close to the New York median midpoint ($185K) — in the middle half of Data Scientist salary ranges in New York.

Openings
Olive Jobs lists 468 open Data Scientist jobs in New York and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 2 years of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,140 postings).
Education
This posting asks for a master's degree; 617 of the 4,830 open Data Scientist jobs (13%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.