Research Scientist, Fraud
San Francisco, CA

Job Description

At Lyft, community is what we are and it's what we do. It's what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

As a Research Scientist on Fraud, you will collaborate with our world class team of data scientists and engineers to fight fraud and build user trust on the Lyft platform. You will develop cutting-edge deep learning models to identify suspicious behavior patterns among passengers and drivers. We aim to target all types of malicious activity with measures that remain invisible to good users, and machine learning models are at the heart of our system. The ideal candidate combines deep technical expertise with an understanding of what it takes to win against bad actors. Check out our blog posts on fraud models and algorithmic fairness to learn more!

Responsibilities:

* Work with Data Scientist, Engineers, Analysts, Product Managers, and Operations to frame problems, both mathematically and within the business context
* Perform exploratory data analysis to gain a deeper understanding of the problem
* Build Machine Learning models, including deep learning models
* Write production modeling code; collaborate with Software Engineers to implement algorithms in production
* Design and run user experiments
* Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience & Skills:

* M.S. or Ph.D. in Computer Science, Mathematics, Statistics or other quantitative fields
* 4+ years professional experience. Some fraud experience strongly preferred
* Passion for solving unstructured and non-standard mathematical problems
* End-to-end experience with data, including querying, aggregation, analysis, and visualization
* Proficiency with Python
* Willingness to collaborate and communicate with others to solve a problem

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.