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Urgent! Data Science Intern, Algorithms (Summer 2026) Job Opening In San Francisco – Now Hiring Lyft
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.
Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services.
Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse.
They cut across optimization, prediction, modeling, inference, transportation, and mapping.
We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment.
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.
**Responsibilities:**
+ 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
**Experience:**
+ **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 2026 and June 2027 (required)**
+ Available during **Summer 2026** for an internship in San Francisco
+ 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
**Benefits:**
+ Great medical, dental, and vision insurance options
+ Mental health benefits
+ In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
+ 401(k) plan to help save for your future
+ Pre-tax 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.
#Hybrid_
_The expected base pay range for this position in the San Francisco area is $58-$62/hour USD.
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._
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Unlock Your Data Science Potential: Insight & Career Growth Guide
Real-time Data Science Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Science in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 48846 jobs in United States and 1714 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Data Science roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Lyft is currently hiring and seeking a Data Science Intern, Algorithms (Summer 2026) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lyft adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Science Intern, Algorithms (Summer 2026) Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Science Intern, Algorithms (Summer 2026) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Science Intern, Algorithms (Summer 2026) interview at Lyft, research the company, understand the job requirements, and practice common interview questions.
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