Data Science Lead, Cash App

  • San Francisco, CA, USA
  • Full-time
  • Current Square Employee?: Apply via go/jobs

Company Description

Cash App is the fastest growing financial brand in the world. Built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic money app with over 15 million active monthly users.

Loved by customers and by pop culture, we’ve held the #1 spot in finance on the App Store for almost two years, and our social media posts see more engagement in a day than most financial brands see in a year.

With major offices in San Francisco, New York, St. Louis, Portland, Kitchener-Waterloo, and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today’s banking system.

Job Description

We are looking for data science leaders to join Square and help build Cash App, the fastest growing financial app in the world. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked and completely disrupt traditional financial institutions. Our massive scale and rich transaction data create an endless number of opportunities to use AI to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles. We move quickly, make incremental changes, and deploy to production every day.

As a data science lead you will partner with one of our many product teams, collaborate on strategy and roadmaps, and apply machine learning to our products in new, innovative ways. The role will be hands-on with the potential to hire other data scientists to work for and alongside you. This role reports directly to Cash App’s Head of Data Science. We are currently looking for:

Data Science Lead, Customer Support

Working closely with our Customer Support product and operations teams, you will use our vast amounts of data to make experiences seamless for our customers and help us achieve world-class service as Cash App continues its rapid growth. You will build models that anticipate customer issues and deliver proactive in-app suggestions, use NLP to contextualize inquiries and respond instantly with relevant content, develop prioritization algorithms that improve efficiency, and apply the latest research to automate conversations with customers.

Data Science Lead, Network (P2P)

Working closely with our Network product team, you will research the virality of our P2P network and build predictive models that fuel growth. You will use our proprietary P2P payment graph to improve customer search, use NLP to understand how customers transact with each other, study price sensitivity to drive engagement with our instant deposit feature, and invent new data products that enrich the P2P experience between friends and family.

Data Science Lead, Banking

Working closely with our Banking product team, you will develop algorithms and tools that help customers understand their financial health as well as assist in their financial planning and decision making. You will develop in-house transaction authorization models, predict customer income via direct deposit transactions, classify card transaction data to better understand customer spending patterns, alert customers about upcoming bill payments, design personalized fee-less overdraft limits, and apply computer vision to digital debit card signatures.


You have

  • 3-5 years of relevant industry experience
  • A graduate degree in computer science, AI, ML, applied math, stats, physics, or a related technical field.
  • A track record of providing mentorship and technical leadership
  • Experience working with product, design, and engineering to prioritize, scope, design, and deploy ML models
  • An appreciation for the connection between the software you build and the experience it delivers to customers
  • A strong desire to perform and grow as a people lead, scientist, and/or engineer

Technologies we use and teach

  • Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.)
  • MySQL, Snowflake, GCP, AWS, Tableau
  • Java


Additional Information

Cash App treats all employees and job applicants equally. Every decision is based on merit, qualifications, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will consider for employment qualified applicants with criminal histories in a manner consistent with each office’s corresponding state and city guidelines.