Data Scientist

Lyft

New York, NY

On-site

In the 12 months to 30 Jun 2026, Lyft filed 20 H-1B positions titled "Data Scientist". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Data scientists with strong modeling and coding experience in Python, R, or MATLAB will find this collaborative role in New York, NY, requiring in-office presence, ideal for those with a master's degree and two years of relevant experience.

Best fit for

Candidates with a master's degree in data science or related fields and two years of modeling experience in production environments
— “Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field.”
Individuals skilled in building optimization and inference models for business decision-making
— “Experience with building and evaluating optimization and inference models, and predictive modeling.”
Professionals comfortable with hybrid work arrangements and in-office collaboration
— “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.”

Things to consider

In-office presence is required for at least three days per week, which may limit remote flexibility
— “Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.”
The role emphasizes a collaborative environment, which may be a consideration for those seeking independent work
— “Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.”

How to stand out

Highlight experience with production modeling and cross-functional collaboration in your resume and interview responses
— “Write production modeling code; collaborate with Software Engineers to implement algorithms in production.”
Emphasize your background in causal inference and statistical modeling in your application materials
— “Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines.”
Demonstrate your ability to translate data insights into business decisions during interviews
— “Analyze experimental and observational data; communicate findings; facilitate launch decisions.”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Developed analytical tools
Constructed predictive models
Analyzed experimental data

Typical background

Master's degree in Data Science or related fieldExperience in data science roles

Skills & requirements

Required

Data_analysisMachine_learningStatistical_modelingOptimization_modelsProduction_code

Preferred

Causal_inferenceData_pipeline_authoring

Stack & domain

Data AnalysisMachine LearningOptimization ModelsProduction ModelingExperimentsData PipelinesMatlabRPythonProblem SolvingCommunicationTeamworkInitiativeData ScienceBusiness Analytics

About the role

Original posting from Lyft

Job ID: 111268
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.
Responsibilities:
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.
Experience:
Education and Experience:
Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field.
2 years of experience in job offered, operations research, or related occupation.
Skills:
Experience creating metrics and analytical tools to track and monitor growth.
Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines.
Experience with building and evaluating optimization and inference models, and predictive modeling.
Experience with writing production quality computer code and using MATLAB, R, and Python.
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 New York City area is $148,000 - $222,000/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

Source: Lyft careers