Data Science and Machine Learning Engineering Lead

  • 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

The Bureau organization at Square is a full-stack creative and technology group that brings Square's ecosystem to life across a variety of channels and media. We exist to provide expert creative partnership, powerful and easy to use platforms and tools, and inventive data-driven marketing solutions to our partners and customers.

You will lead the Bureau Automation team, a cross-functional team spanning data science, engineering and analytics. This is a unique role that sits at the intersection of product, marketing and engineering disciplines. You will have a direct impact on Square's growth by optimizing how and where we reach our customers.

You will:

  • Lead data science and analytics teams to develop algorithms to personalize our marketing and products, while enabling robust decision making across the organization
  • Lead engineering teams to develop real-time data infrastructure, personalization applications and customer communications tools
  • Work jointly with engineering, product and business leaders across the company to infuse automation throughout our go-to-market strategy and channels
  • Use your expertise and industry developments to raise the bar and maintain methodological rigor
  • Develop an inclusive, learning-focused environment


You have:

  • 10+ years of leadership and people management experience in engineering or data roles
  • A track record building high-performance teams and growing senior talent
  • An ability to translate business objectives and customer needs into a solid technical roadmap
  • Excellent stakeholder management and communication skills while working with technical and non-technical audiences
  • The ability to provide hands-on guidance and direction to technical teams and individuals. You aren't afraid to get your hands dirty
  • Technical expertise in building personalization, ranking or recommendation systems that scale, with a fundamental understanding of machine learning algorithms and statistics.
  • M.S. or higher in quantitative field, or equivalent experience preferred

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. Perks At Square, we want you to be well and thrive. Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources