Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

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

Requirements

• 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 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

Qualifications

• Experience in a technology company setting
• Ability to work independently and as part of a team
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills

Skills

• Machine Learning
• Operations Research
• Python
• Optimization

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Pay

The expected base pay range for this position in the San Francisco area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits.

Schedule

Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.