Staff Applied Scientist
San Franciscoonsitestaff$194K – $242K
via Greenhouse
About this role
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. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, teams
2
Level fit
This role is staff-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in San Francisco. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonteams
More at Lyft
- View →Sr. Manager, GTM Strategy & Sales PackagingNew York, NY
- View →Counsel, Patents & IPNew York, NY
- View →Global Supply ManagerSan Francisco, CA
- View →Fleet Operations Associate (Overnight Shift)Nashville, TN
- View →Software Engineer, FulfillmentToronto, Canada
- View →Ingénieur(e) en Micrologiciel, LUSMontreal, Canada