ML & Optimization Scientist — Pricing & ETA

Socotra, Inc.; San Francisco (CA); Hybrid; USD 194,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, vision

Mental health benefits

Family building

Child care benefits

401(k) with match

Paid time off

Parental leave

Commuter benefits

Lyft credits

Lyft Pink

Job summary

Lyft in San Francisco is seeking an Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionalize pipelines that power pricing and ETA decisions.

You will build ML and optimization models that scale to millions of calls per day and collaborate with Pricing, Product, Engineers and Analysts to solve real-world problems that improve rider and marketplace outcomes.

Qualifications

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, CS or related quantitative field.
• 2+ years of algorithms experience in a technology company
• Experience with building and evaluating ML or optimization models

Responsibilities

• Frame problems mathematically with cross-functional partners
• Write production-grade ML and optimization models and deploy them
• Analyze data and build proofs-of-concept for ML/optimization solutions
• Evaluate ML systems against business goals and collaborate with engineers to deploy them
• Establish metrics to monitor product health and outcomes
• Coordinate with cross-functional teams

Skills

Python

Data analysis

Machine learning

Optimization

Communication

Education

M.S. or Ph.D. in a quantitative field

Job description

Lyft in San Francisco is seeking an Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionalize pipelines that power pricing and ETA decisions.

You will build ML and optimization models that scale to millions of calls per day and collaborate with Pricing, Product, Engineers and Analysts to solve real-world problems that improve rider and marketplace outcomes.