Data Science Manager, Banking

  • Full-time

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

Square Banking is on a mission to help small business owners gain peace of mind over their cash flow through products like Checking, Savings, and Loans. We are embedding these financial services into the technology that our sellers already use so that they can focus on running their business. To that end, we are hiring a Lead for the team of Data Scientists that use engineering, analytics, and machine learning to empower data-driven decisions and strategy throughout the full life-cycle of product development.

You will:

  • Lead and manage a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partners

  • Provide mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth

  • Be a thought partner to Banking leadership, promoting data-driven decision-making across the organization by applying the appropriate data science and analytics approaches where they will have a material impact

  • Report to our Head of Product for Square Banking, and partner with product, marketing, design, finance, and engineering leads on product and business strategies

Qualifications

You have:

  • 2+ years of experience in people management with experience building teams and growing talent

  • Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines

  • Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) to allow you to support and mentor the team and their technical growth

  • Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetype

  • [Bonus] Degree in a quantitative field (mathematics, statistics, or similar STEM field) or equivalent experience

  • [Bonus] Experience working on business and product initiatives in financial services

Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

We want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

Privacy Policy