Data Scientist, Square Appointments

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

The Appointments team at Square is focused on creating purpose-built tools for businesses that sell their time (think: hair stylists at salons, trainers at gyms, lawyers, contractors). On this team, we're building brand new products on top of Square's revolutionary payments platform to make the lives of these professionals easier and more productive, and the experience for their customers more modern and seamless.

As a member of the Square Appointments data team, you will use engineering, analytics, and machine learning to empower data-driven decisions in the full life cycle of product development and bringing our products to market. You will run experimentation and growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and guide strategic decisions with data.

You will:

Partner directly with the product team to make data decisions across the organization by applying descriptive and predictive analytics where it will have a material impact
Design A/B experiments to evaluate the impact of changes we make to the product
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
Coordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science
Work with engineers to log new, useful data sources as we build new product features

Qualifications

You have:

3+ years of analytics and data science experience or equivalent
B.S. in a quantitative field (mathematics, statistics, engineering, or similar STEM field)
Experience leading projects that depend on the contributions of others in multiple disciplines
Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Fluency with data warehouse design practices, analytics, and visualization technologies (we use SQL, Looker, and Python)

Nice to have:

M.S in a quantitative field (mathematics, statistics, or similar STEM field)
Experience working on business and product projects focused on growth and retention
Familiarity with Marketing analytics and experimentation

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. 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
Paid time off
Learning and Development resources