Data Scientist, Optimization - Pricing

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Prioritize and lead deep dives into our data to uncover new product and business opportunities
• Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
• Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
• Establish metrics that measure the health of our products, as well as rider and driver experience
• Drive collaboration and coordination with cross-functional teams
• Provide coaching and technical guidance for other teammates

Requirements

• Ph.D. in Operations Research, or other quantitative fields or related work experience
• Proven experience with building and evaluating optimization models
• Proficiency with Python and working in a production coding environment

Qualifications

• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem

Skills

• Experience with data science and machine learning
• Ability to work in a fast-paced, innovative, and impactful environment

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
• Discretionary paid time off
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Pay

The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits.

Schedule

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.