Engineering

Lyft is solving some incredibly interesting bleeding-edge technology problems right now. Because of the realtime marketplace that we have created, our data scientists are working on some truly fun and exciting optimization problems that we'd love your help with. We're seeking candidates that are excited about applying their analytical skills to solving problems that delight users every day.

Qualifications:

1+ year professional experience.

Proven achievements derived from your research and data analysis skills.

Experience with all stages of the data analysis pipeline, from querying (e.g. SQL/Pig) to statistical analysis.

Desire to join a collaborative work environment.

Bonus points: experience with mathematical optimization, machine learning, spatial statistics, and data visualization.

The Problems You’ll be Solving:

The data science and analytics team is Lyft's Research and Development arm. We're involved in almost every part of the business, using data and modeling to optimize everything from how we match drivers and passengers to selecting Lyft's next market. We need talented researchers and engineers to draw new insights from our data. If you have quantitative experience and superb communication skills for advising less technical co-workers, you'll fit right in. Our idea of a good day is bringing rigorous analytical methods to creatively address seemingly intractable problems. If that sounds familiar, we want you on our team.

Lyft is an EEO employer that actively pursues and hires a diverse workforce, and pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.