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.
Square is built by an incredible team that is on a mission to make commerce easy for all types of businesses. As a DS lead for Square Appointments and Square Conversations, you will have an opportunity to drive impact for the millions of small businesses utilizing our platform to start, run and grow their business. Square Appointments helps businesses in the services industry succeed by building everything they need to run their business: scheduling and online booking, a point of sale that tracks customer details, and a secure, fast payments system. The Conversations team builds Square Messages, a messaging platform for merchants to manage conversations with their customers, Messages is also home to Square Assistant -- a virtual assistant to help merchants serve their customers 24/7.
In this role, you will work both in an individual contributor capacity and as a people/team lead. You will assemble a team to leverage a unique set of skills, including, data engineering, analytics, data science, and machine learning to help us grow our products and kick off green field initiatives.
Lead a small team of Data Scientists and set goals, collaborate, and scale with their partners; an opportunity to grow the team over the next 6-18 months.
Provide mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Help use our data to bring intelligent features into our products.
Translate ambiguous, unstructured business problems into actionable data-driven analyses.
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiative
2+ years of experience in people management with experience building teams and growing talent
7+ years of data science experience or equivalent
Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Track record of being a technical leader among your peers, with proven impact as either an IC or people lead
Experience working on product initiatives focused on growth, new markets and/or marketplaces
B.S+ in a quantitative field (mathematics, statistics, or similar STEM field). M.S preferrable.
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.
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