Data Scientist, Payments

  • San Francisco, CA
  • Full-time

Company Description

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.

Job Description

As a Data Scientist at Square working on Payments, you will lead projects that derive value from our unique, rich, and rapidly growing data. Were a passionate team of hackers, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving decisions. Specifically, you will apply your broad knowledge of statistics and machine learning and business acumen as an individual and through others. You will primarily be working these teams.

Payments Platform

The payments platform team enables Square to move over $20B of money per quarter on behalf of Square's products and is at the core of Square's business. From developing infrastructure to working with external partners, we find the best ways to move money across different networks and countries in a way that is cost-effective, available, scalable, secure, and forward-looking.

Payments Products

The Payments product team builds and maintains the iOS and Android app that enable Square Sellers to accept payments. We are also responsible for Deposits and Square Card - the conduits through which our sellers have real-time access their funds.


You will:

  • Help transform Squares core business by building out data driven product improvements in the Payments space

  • Use and learn a diverse set of techniques spanning machine learning, causal inference, and other forms of statistical modeling to solve important business problems

  • Drive cross functional data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, research, prototype, and build out data science pipelines and models, as well as summarize and present methodology and key insights

  • Work with engineers to implement data science solutions that operate effectively at scale

  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models

  • Communicate to both technical and non-technical audiences

  • Lead, guide, and mentor

You have:

  • 3+ years industry or academic experience in data science or analytics

  • A consistent record of performing data analysis using Python (Pandas, NumPy) and SQL

  • Experience using statistics and machine learning to solve complex business problems

  • The versatility and willingness to learn new technologies

  • The ability to clearly communicate complex results to technical and non-technical audiences

  • Proficiency with other data tools such as Google Cloud Platform, Snowflake, Tableau, Looker

  • Proficiency with Linux/OS X command line, version control software (git), and general software development

  • Product sense

Technologies we use and teach:

  • Python (pandas, scikit-learn, TensorFlow, Keras)

  • Google Cloud Platform

  • Snowflake (SQL)

  • Looker

Additional Information

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.