Applied Scientist — ML & Optimization for Pricing

Lyft; California (MO); Hybrid; USD 194,000 - 242,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan with company match

Paid time off incl. holidays

Parental leave 18 weeks

Commuter benefits

Lyft credits

Lyft Pink membership

Job summary

Lyft is seeking an Applied Scientist specializing in Machine Learning and Operations Research. You will build mathematical models and deploy production ML and optimization solutions to power pricing and ETA decisions, partnering across Pricing, Product, Engineers, and Analysts.

You will translate complex business problems into reliable systems, scalable pipelines, and decision frameworks while collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• MS or PhD in ML, OR, Stats, CS or related quantitative field.
• 2+ years of algorithms experience in a tech company.
• Proficiency with Python in production coding environment.
• Strong ML/optimization model experience.

Responsibilities

• Partner with Data Scientists, Engineers, PMs, and Business Partners to frame problems mathematically and within the business context.
• Write production quality code. Design, build and deploy production‑grade ML and Optimization models with custom methods beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
• Evaluate machine learning systems against business goals and collaborate with Engineers to implement algorithms in live systems and ensure robustness.
• Establish metrics and development measurement methodologies to monitor health of products and impacts on user and marketplace outcomes.
• Drive collaboration and coordination with cross-functional teams.

Skills

Python

Algorithms

Production coding

Communication

Machine Learning

Education

MS/PhD in ML/OR

Job description

Lyft is seeking an Applied Scientist specializing in Machine Learning and Operations Research. You will build mathematical models and deploy production ML and optimization solutions to power pricing and ETA decisions, partnering across Pricing, Product, Engineers, and Analysts.

You will translate complex business problems into reliable systems, scalable pipelines, and decision frameworks while collaborating with cross-functional teams in a fast-paced environment.