Applied Scientist: Dynamic Pricing & Offer Optimization

CHEManager International; San Francisco (CA); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Mental health benefits

Family building benefits

Child care benefits

401(k) plan with company match

Discretionary paid time off

Paid parental leave 18 weeks

Commuter benefits

Lyft credits

Job summary

Lyft is seeking an Applied Scientist to advance pricing and ETA decisions using ML and operations research. This role involves building scalable ML and optimization models, productionizing pipelines, and collaborating with Pricing, Product, and Eng teams to translate real-world problems into reliable decision systems.

You will work in a fast-paced environment, tackle complex quantitative challenges, and deliver impact across the rider experience and marketplace performance.

Qualifications

• MS. 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 leveraging expertise in one or multiple fields.
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
• Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem

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. Able to build custom methods and tooling beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.
• Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
• Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Skills

Machine Learning

Operations Research

Optimization

Python

Production code

Mathematical modeling

Data analysis

Communication

Education

MS/ PhD in ML/OR/Statistics/CS

Job description

Lyft is seeking an Applied Scientist to advance pricing and ETA decisions using ML and operations research. This role involves building scalable ML and optimization models, productionizing pipelines, and collaborating with Pricing, Product, and Eng teams to translate real-world problems into reliable decision systems.

You will work in a fast-paced environment, tackle complex quantitative challenges, and deliver impact across the rider experience and marketplace performance.