We believe the economy is better when everyone has access. 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.

The Square for Restaurants team is focused on empowering Food & Drink businesses of all kinds to start, run, and grow their business, ultimately helping them deliver exceptional hospitality to their customers. Understanding these businesses and how they operate from a holistic, data-driven perspective is crucial in providing them with the best resources to achieve this goal.

As the Data Science Lead for the Square for Restaurants team, you’ll be responsible for building a team that drives analytics projects, leads experimentation, and provides insights to bring a deep understanding of our merchants to product decision-making for the team. You will report to the General Manager of Square for Restaurants and partner with product, marketing, design, and engineering leads on product and business strategies.

Team Description

The Restaurants team within Square is a focused initiative charged with empowering Food & Drink businesses of all kinds to start, run, and grow their businesses through advanced workflows, specialized products, business insights, and inclusion in the greater Square ecosystem. Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience.

The Restaurants team owns multiple products that Food & Drink businesses use, such as the Point-of-Sale, the Kitchen Display, and the overall product experience of restaurant type merchants. As Data Scientists, we operate as full-stack data partners, having the ability to play a crucial role in every part of every product that our team owns, from the inception of a new feature to the automated insights derived from machine learning models. These tasks include:

• Partnering with product stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have a material impact
• Applying a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insights
• Owning, coordinating, and solving complex, cross-functional problems
• Communicating analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
• Designing A/B tests and evaluating the results, communicating to the team the actual product impact that they make
• Leading the data strategy of Square for Restaurant sub-teams, influencing them to make well-informed architectural and design decisions that affect data at Square
• Providing comprehensive day-to-day analytics support, developing tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

You have:

• 2+ years of experience in people management with a track record of building high-performance teams and growing talent
• 6+ years of data science and analytics experience or equivalent
• Experience building relationships to influence product partners with data
• Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
• Familiarity with data warehouse design and best practices
• Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will 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 archetypes

Nice to have:

• M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
• Experience working on business and product initiatives in the Restaurants or Retail space