Data Scientist, Cash App

  • San Francisco, CA, USA
  • Full-time

Job Description

We are looking for data scientists to join Square and help build Cash App, the fastest growing financial app in the world. Our mission is to make banking and financial services accessible to the underserved and unbanked. We move quickly, make incremental changes, and deploy to production every day.

As a data scientist at Square, you will work alongside product engineering teams to unlock the potential in our large and unique data by building machine learning models that are used to detect fraud, predict consumer credit, automatically infer responses to inbound customer inquiries, understand and forecast key customer behaviors, surface product recommendations, and much more. You will contribute directly to researching and training machine learning models using techniques such as gradient boosted trees and deep learning.


You will

  • Identify opportunities where machine learning can have an impact across the entire Cash App

  • Research, prototype, and productionize statistical models using state-of-the-art techniques

  • Work closely with product managers, engineers, and designers on machine learning applications for our rapidly growing customer base

  • Help build the next generation of data products in Cash App

You have

  • A graduate degree in machine learning, computer science, artificial intelligence, applied mathematics, statistics, physics, or a related technical field.

  • 1-2 years of relevant industry experience

  • Experience applying statistics and machine learning to creatively solve complex business problems

  • An appreciation for the connection between the software you build and the experience it delivers to customers

  • Technical initiative and a desire to perform and grow as a scientist and/or engineer

Technologies we use and teach

  • Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.), Java

  • MySQL, Snowflake, GCP, AWS, Tableau

Additional Information

All your information will be kept confidential according to EEO guidelines.

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at) We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.