Data Scientist, Algorithms

Role Overview

The Data Scientist, Algorithms will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. The role requires a data-driven individual who is passionate about tackling open-ended problems in pricing theory and making a large, positive impact in the business.

What You Will Do

The responsibilities include partnering with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context, performing complex data analysis, developing and fitting statistical, machine learning, or optimization models, writing production code, and communicating findings to a broad audience.

Why It Might Be a Fit

The ideal candidate will have experience in Machine Learning, Statistics, Economics, or other quantitative fields, a passion for solving unstructured and non-standard mathematical problems, and the ability to collaborate and communicate with others to solve a problem.

Requirements

• Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields
• M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields
• 1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a Data Science role
• 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 preferred

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