Applied Scientist: Real-Time Pricing & ML Optimization

Socotra, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Health insurance

Mental health benefits

Family benefits

Child care benefits

401(k) matching

Paid time off

Parental leave

Commuter benefits

Lyft credits

Lyft Pink

Job summary

Lyft’s Pricing team shapes pricing for rideshare products, building ML and optimization models that power real-time decisions. As an Applied Scientist, you will deploy scalable pipelines and collaborate with Product Managers, Engineers and Analysts to improve the marketplace and rider experience.

The role focuses on mathematical problem framing, production-grade code, and CR-based evaluation across optimization, prediction, ML and inference.

Qualifications

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields.
• 2+ years of algorithms experience in a technology company setting.
• Proficiency with Python and working in a production coding environment.
• Passion for solving unstructured and non-standard mathematical problems and building impactful machine learning models.
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, 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.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
• Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure robustness.
• Establish metrics and development measurement methodologies to monitor the health of our products and their impact on user and marketplace outcomes.
• Drive collaboration and coordination with cross-functional teams.

Skills

Python

Machine Learning

Operations Research

Data analysis

Communication

Education

M.S./Ph.D. in quantitative field

Tools

Production coding

Job description

Lyft’s Pricing team shapes pricing for rideshare products, building ML and optimization models that power real-time decisions. As an Applied Scientist, you will deploy scalable pipelines and collaborate with Product Managers, Engineers and Analysts to improve the marketplace and rider experience.

The role focuses on mathematical problem framing, production-grade code, and CR-based evaluation across optimization, prediction, ML and inference.