Head of Machine Learning, Risk

  • San Francisco, CA
  • Full-time
  • Alternate Location: New York, United States
  • Position open to remote: Yes

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

The Risk Machine Learning team is part of Square’s Risk team. As the lead for Risk ML you will be on Square’s Risk Leadership team that oversees over 150 people and lead a team of Data Scientists and Machine Learning Engineers in building capabilities that ensure safe, responsible, and value-accretive growth for Square and our sellers. You will ship solutions that improve the lives of Square’s merchants and the agents that serve them every day. The focus of this role is organizational leadership and growth, with a deep connection to inspire and motivate the organization. This is also a role that calls for collaboration and partnerships with Marketing, Sales, Account Management, Product Teams, and more. We’re looking for an inquisitive, metrics-driven, empathetic individual that is not afraid of challenging assumptions, diving into the data, and double checking results.

You Will: 

  • Provide Leadership and Supervision: You will lead innovation within Risk as part of the Risk leadership team, monitoring key business risks and implement the data needs of the business; manage data science/machine learning team(s) and oversee all activities that ensure alignment with Risk and business-wide vision and strategies. You will also play a role in the development of Risk’s vision, capabilities, infrastructure, and road map for the launch of additional machine learning capabilities.

  • Strategy: You will help create industry-leading model/metric performance by applying creative data-sources, and employing state-of-the-art machine learning at Square. You will scope and implement machine-learning models to support Risk’s initiatives and programs and help achieve the overall business objective and targets.

  • Collaboration: You will represent Risk across other Data and Analytics Teams within Square, and work with Product Management, Policy, Operations, UX/Design, Engineering and other organizations across Risk and Square. You will be a trusted advisor and member of the Risk leadership team in the creation and deployment of useful insights that inform and activate strategies across the business. 

  • Machine Learning/Modeling: You will promote experimental data modeling designs, run A/B tests to evaluate changes in the business’s product/services, track the business’s performance of ML models vs expected performance and monitor trends in key business indicators, providing valuable insights to relevant departments for overall performance improvement.

Qualifications

You Have:  

  • A graduate degree (or equivalent experience) in computer science, AI, ML, applied math, statistics, physics, or a related technical field

  • 12+ years of experience working and leading in a technical field

  • Experience working with product, design, and engineering to prioritize, scope, design and deploy ML models

  • Experience providing mentorship and technical leadership 

  • The ability to communicate clearly with both technical and non-technical audiences 

  • A desire to perform and grow as a people lead, scientist, and/or engineer 

  • Experience autonomously driving multiple, competing projects under deadline pressure 

  • You’re passionate about Square’s mission and are open to learning new technologies on the job 

  • Technologies we use and teach: Python (numpy, pandas, sklearn, xgboost, TensorFlow) MySQL Java

Additional Information

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, 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 the requirements of 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.

Perks

At Square, 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
  • Flexible time off
  • Learning and Development resources