**Company Description**:- Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.- So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.- Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.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 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. The Restaurants team owns multiple products that Food & Drink businesses use, such as the Point-of-Sale, the Kitchen Display, as well as the overall Square product experience in the Food & Drink space..As a Data Scientist, you will use data engineering, 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 help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.You will:- Build foundational metrics and KPIs to measure the health of our businessCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science-- Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media-- Help lead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at Square-- Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful**Qualifications**:- 8+ years of analytics and data science experience or equivalent-- Experience building relationships to influence product partners with data-- Strong background in data warehouse design and data engineering best practices-- Experience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)**Additional Information**:Zone A: USD $184,100 - USD $225,000Zone B: USD $174,900 - USD $213,700Zone C: USD $165,700 - USD $202,500Zone D: USD $156,400 - USD $191,200To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Full-time employee benefits include the following:- Healthcare coverage (Medical, Vision and Dental insurance)- Health Savings Account and Flexible Spending Account- Retirement Plans including company match- Employee Stock Purchase Program- Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance- Paid parental and caregiving leave- Paid time off (including 12 paid holidays)- Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)- Learning and Development resources- Paid Life insurance, AD&D, and disability benefitsWe're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregna
