Data Scientist, Algorithms

There is a Data Scientist, Algorithms vacancy at Lyft, and the role is based in California. The job is full-time and office based. Lyft lists pay of $128,000 to $160,000 a year.

Here is the role as Lyft describes it.

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.

The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historical data to set prices for every single ride at Lyft while balancing prices and ETAs to better serve our riders’ needs.

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.

Responsibilities:

Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context

Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes

Develop and fit statistical, machine learning, or optimization models

Write production code; collaborate with Software Engineers to ship models to production

Design and implement both simulated and live experiments

Analyze experimental and observational data; facilitate launch decisions

Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership

Experience:

Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields

M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields

1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role

Passion for solving unstructured and non-standard mathematical problems

End-to-end experience with data, including querying, aggregation, analysis, and visualization

Proficiency with Python, or another interpreted programming language like R or Matlab

Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets

Ability to collaborate and communicate with others to solve a problem

Strong oral and written communication skills, and ability to collaborate with cross-functional partners

Experience in causal inference, LTV modeling, econometrics, or user choice modeling preferred

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 with company match 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

Monthly Lyft credits and complimentary Lyft Pink membership

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 San Francisco area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Common questions

What is the salary for the Data Scientist, Algorithms role at Lyft?

Lyft advertises $128,000 to $160,000 a year for this role.

Is this a remote, hybrid or office job?

No, it is an on-site job in California.

What experience do I need for this Data Scientist, Algorithms job?

The posting mentions 1 to 4 years of relevant experience, a phd or doctorate or equivalent and skills such as Python, SQL, Machine Learning and MATLAB. Read the full description above for the complete list.

Where do I send my application to Lyft?

Use the apply button on this page. It takes you to Lyft's own application form, so your CV goes directly to their hiring team.

When was this job posted?

Lyft published the role on October 1, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

Source: Lyft careers page (app.careerpuck.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.