Applied Scientist - Pricing, Rider Engagement

Lyft • New York, NY

8d • Hybrid

About The Position

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.
The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Rider Engagement is a fast-growing team within Pricing, focused on developing rider-facing engagement levers and optimizing user pricing experience to drive both short term and long term business outcomes.
As an Applied Scientist specializing in Machine Learning and Operational Research on this team, you will develop mathematical models and launch algorithms that power core discounting systems and pricing decisions. You will be hands-on with building ML and optimization models, productionizing pipelines, building and scaling systems that deal with real-time data processing, large data storage and critical business problems that have a big impact on the marketplace and customer experience. You will get exposure to diverse problems across optimization, prediction, machine learning, and inference; you will collaborate with teammates and stakeholders to build and scale our systems and enhance algorithms.
We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decisioning frameworks.

Requirements

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
• 2+ years of machine learning 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, and ability to collaborate and communicate 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 models.
• Perform data analysis and build proof-of-concept to explore and propose ML 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
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level