Applied Scientist- Pricing, Dynamic Pricing & Offer Selection
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What this role actually needs.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 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 Benefits: - Great medical, dental, and vision insurance options with additional programs available when enrolled - Mental health benefits - Family building benefits - Child care and pet benefits - 401(k) plan with company match to help save for your future - In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off Company context: Lyft operates a large-scale mobility platform with engineering, data, security, and product hiring across major North America metros.
Day-to-day expectations
Lyft lists these responsibilities for the Applied Scientist- Pricing, Dynamic Pricing & Offer Selection role.
- 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
Why people would want this job
Lyft published these compensation, benefits, or working-context details with the role.
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
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Source: app.careerpuck.com · Source ID: 8402813002 · Confidence: 91/100 · Last checked: May 7, 2026
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