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Data Science Intern, Decisions - Product (Summer 2026) Job Opening In San Francisco – Now Hiring Lyft


Job description

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.

Data is at the heart of how Lyft makes business and product decisions.

As a data science team, we work collaboratively with partners across product, engineering, operations and growth to develop business insights and make actionable recommendations.

We’re looking for passionate data scientists to take on some of the most interesting and impactful problems in ridesharing.

You’ll work in an environment where we embrace moving quickly to build the world’s best transportation.

Data Scientists pursue a variety of problems ranging from understanding our passengers and drivers, to ensuring we have an efficient marketplace, to optimizing how we run our marketing and growth incentives.

You’ll dig into the data to uncover insights, design experiments and measure the impact, and help influence decision-making across the entire organization.

As a **Data Science Intern on the Decisions: Product track** , you will focus on Data Science for humans.

Your output shapes decisions made by executives, product managers, operations and business teams, and beyond.

This role relies upon an ability to apply decision frameworks and a deep understanding of the business and product to drive alignment on problems and solutions.

You will report into a Science Manager.

**Responsibilities:**

+ Build and automate relevant models and reporting for important business processes
+ Perform deep-dives into our customer data to understand passenger and driver behavior
+ Develop strong hypotheses, create solutions, and uncover business insights to increase growth
+ Design and analyze experiments to increase engagement with the Lyft platform
+ Partner and develop strong relationships with diverse teams across product, marketing, and engineering

**Experience:**

+ Pursuing a **Bachelor's or Master's degree** in data science, computer science, economics, applied math, engineering, statistics or another quantitative field; or in a hard science field, such as physics, biology, biostatistics, etc.
+ **Currently attending a university and graduating between December 2026 and Summer 2027 (required).** **For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience.**
+ Available during **Summer 2026** for the internship in San Francisco
+ Comfortable working with very large datasets
+ Experience analyzing data in Python or R; **strong proficiency in SQL**
+ Experimentation design and analysis of A/B tests
+ Effective communication skills; detail-oriented
+ Passion for community, sustainability, or transportation
+ Ability to thrive in a fast-paced environment

**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 $54-$58/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._

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


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The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Science Intern, Decisions Product (Summer 2026) Positions?

The average salary range for a 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.

What Are the Key Qualifications for Data Science Intern, Decisions Product (Summer 2026)?

Key qualifications for Data Science Intern, Decisions Product (Summer 2026) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Science Intern, Decisions Product (Summer 2026) Job Success

Lyft interview tips for Data Science Intern, Decisions   Product (Summer 2026)

Here are some tips to help you prepare for and ace your Data Science Intern, Decisions Product (Summer 2026) job interview:

Before the Interview:

Research: Learn about the Lyft's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science Intern, Decisions Product (Summer 2026) interview at Lyft, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lyft's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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