Data Scientist, Customer Success

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

The Customer Success Operations team manages the day-to-day operations of the CS organization (Workforce Management, Vendor Management, Tools/Infrastructure), as well as identifying, designing and implementing strategic projects to improve the performance (quality and efficiency) of our CS team. We are a data-driven team: data engineering, data science, and analytics is central to everything we do and underpins all of the functions mentioned above. 

As a Data Scientist at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data. We’re a passionate team of hackers, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving decisions. 

You will become an integral part of Square and will develop the core of our customer understanding. Those solutions will help bring to light actionable insights to improve business decisions and provide better experiences for our customers. Our tech stack currently includes GCP, Python, Looker, and SQL.

You will:

• Drive cross functional analytics projects from beginning to end: build relationships with partner teams frame and structure, collect and analyze data, as well as summarize and present key insights in support of decision making
• Work with engineers to evangelize data best practices and implement analytics solutions 
• Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models 
• Use your experience in analytics tools and scientific rigor to produce actionable insights
• Communicate key results to senior management in verbal, visual, and written media

Qualifications

You have:

• 3+ years of analytics experience and a Bachelor’s degree or equivalent
• Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems
• Experience working with technical and non-technical partners, including creatives and product marketing managers
• Experience working on business and product initiatives focused on growth and retention
• Familiarity with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, and predicting churn
• Experience maintaining a backlog and performing independently

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 $125,600 - USD $153,600
Zone B: USD $119,300 - USD $145,900
Zone C: USD $113,000 - USD $138,200
Zone D: USD $106,800 - USD $130,600

To 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