Data Science Internship, Lyft

Algorithms, Summer 2025

Salary not provided

The expected range of pay for this position in the San Francisco Bay Area area is $56 - $62/hour USD

SQL

Python

Tensorflow

NumPy

Scikit-Learn

NLTK

SpaCy

PyTorch

Keras

San Francisco Bay Area

More information about location

3 days a week in office

Ride sharing company

Open for applications

Ride sharing company

1001+ employees

B2CTravelTransportMobilityRidesharing

Open for applications

Salary not provided

The expected range of pay for this position in the San Francisco Bay Area area is $56 - $62/hour USD

SQL

Python

Tensorflow

NumPy

Scikit-Learn

NLTK

SpaCy

PyTorch

Keras

San Francisco Bay Area

More information about location

3 days a week in office

1001+ employees

B2CTravelTransportMobilityRidesharing

Company mission

To improve people’s lives with the world’s best transportation.

Job

Company

Role

Who you are

Currently pursuing a Masters or PhD degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; with a graduation date between December 2025 and June 2026 (required)
Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
Experimental design and analysis
Exploratory data analysis
Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation

What the job involves

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services
Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
Perform exploratory data analysis to gain a deeper understanding of the problem
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 including working with partner teams and presentations; facilitate launch decisions
We are hiring for a variety of Data Science interns, focusing on the following specialties:
Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app
Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment
Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems
You will report into a Science Manager

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

Top investors

Few candidates hear
back within 2 weeks

-2% employee growth in 12 months

Glassdoor (3.6)

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

Lyft prices IPO at top of range

With New Lyft Assisted, Drivers Will Help Riders From Door to Vehicle

Lyft doubles micromobility footprint with PBSC acquisition

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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