Who you are

• M.S. or Ph.D. in Economics, Statistics, or other quantitative fields
• 1-2+ years of professional experience for PhDs or 2-4+ years for Master’s in a data scientist 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
• Familiar with SQL - able to write structured and efficient queries on 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

What the job involves

• We are looking for a Data Scientist - Algorithms with chops in Economics, Statistics, or other quantitative fields to join the Rider Segments team
• In it, you will leverage data, analytical thinking, and rigorous machine learning and causal modeling to bring to life zero-to-one products tailored to our most impactful and strategic rider segments and their use cases
• We're looking for execution-oriented scientists who are passionate about solving challenging problems with data and mathematical models, and are excited about working in a fast-paced, innovative environment
• You will bring a quantitative mindset to decision-making in partnership with engineers, product, business, and marketing stakeholders across organizations and drive roadmaps to create products solving the needs of millions of riders
• You will report to a Data Science Manager in the Rider team
• Partner with other scientists and colleagues in the rider segments team, and with external teams across driver, marketplace and business to frame problems mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of problems
• Develop and fit statistical, causal and machine learning models
• Design, implement and analyze experiments or leverage other quasi-experimental observational methodologies to measure performance
• Communicate findings and facilitate launch decisions
• Develop causal measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
• Family building benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program