Senior Data Scientist, Food & Beverage

Job Description
Square’s mission is economic empowerment and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The Food & Beverage team within Square is charged with empowering 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. We are working on some of the highest priority focus areas for the company. This team owns multiple products that serve Food & Beverage sellers, such as the Point-of-Sale, the Kitchen Display, as well as the overall Square product experience in the Food & Beverage space. 
As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience. You will lead efforts to define metrics that track progress against organizational goals, provide insights to our sellers about their business, and collaborate with a wide range of cross-functional partners to ensure we can drive strategic decisions for our Food & Beverage sellers with data.
You will:
Partner directly with the Food & Beverage product team to make data-driven decisions by applying descriptive and predictive analytics where it will have a material impact
Build foundational metrics and KPIs in business intelligence tools (e.g. Looker, Amplitude) to measure the health of our business
Work with the engineering team to implement high quality product event logs
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
Prioritize rigorously amidst different stakeholders, ensuring your contributions have the most impact on Square’s strategic decisions & bottom line
Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful