Is the Data Scientist, Algorithms role remote?

It's hybrid — Lyft expects some on-site time in San Francisco, CA, United States.

What's the salary range?

Lyft lists $128,000–$160,000 for this role.

How much experience is required?

3–5 years of relevant experience for this Data Scientist, Algorithms role.

Where is the role based?

Lyft is hiring for this position in San Francisco, CA, United States.

What's the tech stack?

Joblaze extracted these technologies from the posting: Economics, Machine Learning, Python, SQL, Statistics.

What seniority level is this role?

Lyft targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Data Scientist, Algorithms role at Lyft.

Data Scientist, Algorithms at Lyft

Joblaze summary

In this role, the Data Scientist will focus on developing and implementing dynamic pricing models that utilize both real-time and historical data to optimize ride pricing at Lyft. Key skills include proficiency in Python and SQL, along with a strong foundation in machine learning, statistics, and data analysis. This position is suited for candidates with 1-5 years of experience in data science, particularly those with advanced degrees in quantitative fields. The Marketplace team emphasizes collaboration across functions to enhance the rider and driver experience.

Joblaze insights

Listed yesterday — first seen on Joblaze October 3, 2026. Last confirmed on Lyft's careers page October 3, 2026.
Salary band is below the typical range for Data Science roles (median ~$174,000).
Starts above 48% of 33 comparable mid data science roles in United States that list SQL we track (median $128,000 across 22 companies). See SQL salary trends
SQL appears in 76.4% of 72 comparable mid data science roles in United States; Statistics appears in 5.6% of 72 comparable mid data science roles in United States.

Quick facts

Is the Data Scientist, Algorithms role remote?: It's hybrid — Lyft expects some on-site time in San Francisco, CA, United States.
What's the salary range?: Lyft lists $128,000–$160,000 for this role.
How much experience is required?: 3–5 years of relevant experience for this Data Scientist, Algorithms role.
Where is the role based?: Lyft is hiring for this position in San Francisco, CA, United States.
What's the tech stack?: Joblaze extracted these technologies from the posting: Economics, Machine Learning, Python, SQL, Statistics.
What seniority level is this role?: Lyft targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Scientist, Algorithms role at Lyft.

From the original posting

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

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.

Standard company text repeated across Lyft's postings is omitted here.

Data Scientist, Algorithms

Responsibilities:

Experience:

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