# Data Scientist, Algorithms, Optimization - Fulfillment

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $128k – $160k/yr
**Experience:** 2+ years
**Skills:** Python, Machine Learning, Optimization, Statistics, Operations Research, Data Analysis, SQL, Data Visualization, A/B Testing, Production Code
**Posted:** 2026-05-05

> Develops mathematical models, machine learning, and optimization algorithms for real-time rideshare supply-demand matching on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, and Python proficiency.

## Job Description

## Responsibilities
- Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team's systems and products
- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Construct and fit statistical, machine learning, or optimization models
- Write production modeling code; collaborate with Software Engineers to implement algorithms in production
- Design and implement both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings; facilitate launch decisions
- Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
- Drive collaboration and coordination with cross-functional teams

## Experience
- M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
- 2+ years professional experience in a technology company setting
- Proven experience with building and evaluating machine learning models
- Proficiency with Python and working in a production coding environment
- Passion for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

## 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 to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off
- 18 weeks of paid parental leave
- Subsidized commuter benefits

**Expected base pay range in San Francisco area: $128,000 - $160,000** (dependent on qualifications, experience, and location; excludes equity, bonus, benefits)

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