Staff Data Scientist, Square for Restaurants

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.

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 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:

• Partner directly with the Restaurants product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact

• Build foundational metrics and KPIs to measure the health of our business

• Apply data engineering best practices to build a solid foundational of ETLs to power our analytics, data science and machine learning efforts

• 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

• 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 disciplines

• Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypes

• Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone