Data Scientist, Cash App
- San Francisco, CA, USA
We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.
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.
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
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
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)squareup.com. 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.