Top Benefits
About the role
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
About Lyft
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.
Top Benefits
About the role
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
About Lyft
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.