Senior Data Scientist, Algorithms - Pricing, Rider Engagement

Lyft • San Francisco, CA

81d • $148,000 - $185,000 • 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. Data Science is at the heart of Lyft's products and decision-making. The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Rider Engagement is an integral part of that. Rider Engagement team is a fast growing team responsible for developing scalable systems and engagement levers to efficiently drive both short term and long term business outcomes. We are looking for fast learning, data-driven individuals who are passionate about tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end incentive levers and budget allocation models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.

Requirements

• Ph.D. in Operations Research, Economics, Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
• 1-4+ years of professional experience with Proven experience with building and evaluating optimization models
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets
• Ability to collaborate and communicate with others to solve a problem
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• Experience in causal inference, LTV modeling, econometrics, or user choice modeling

Responsibilities

• Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context
• Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes
• Develop and fit statistical, machine learning, or optimization models
• Write production code; collaborate with Software Engineers to ship models to production
• Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
• Analyze experimental and observational data; facilitate launch decisions
• Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership
• Provide coaching and technical guidance for other teammates

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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees