Data Scientist, Customer Success

Company Description

Ever since we commenced operations in 2009, the commercial landscape has seen drastic transformations, and so has Square. After equipping everyone to process payments and never miss a transaction, we noticed that merchants were being hindered by a variety of outdated products and tools that were incompatible with one another.

Therefore, we broadened our horizons to software and embarked on creating integrated, all-encompassing solutions – aimed at empowering sellers to conduct online sales, supervise their inventory, present 'buy now, pay later' options via Afterpay, schedule appointments, interact with loyal consumers, and recruit and remunerate staff. Going further, we’ve incorporated financial services tools at the point of sale, allowing businesses to secure loans and oversee their cash flow within one setup. Afterpay enhances our objective of supplying comprehensive tools that usher in substantial value and growth, allowing sellers to appeal to the next generation buyer, amplify the value of orders, and compete at a grander scale.

At present, we collaborate with merchants of all scales – from large, enterprise-grade businesses with intricate operations to those just initiating business, as well as traders who started their journey with Square and have expanded over time. As our clients grow, our solutions evolve in tandem. We have an enormous opportunity ahead of us. We aim at developing a significant, meaningful, and enduring establishment, aiding sellers globally to do the same.

Job Description

The Customer Success Operations team supervises the daily functions of the CS entity (including Workforce Management, Vendor Management, and Tools/Infrastructure), and pinpoints, designs, and implements strategic initiatives to augment the performance (quality and efficiency) of our CS team. We are a group driven by data: data engineering, data science, and analytics form the core of what we do and buttress all the operations stated above.

As a Data Scientist at Square, you will spearhead projects that leverage our unique, rich, and rapidly expanding data. We are an enthusiastic team of hackers, statisticians, and optimizers who are adept at defining problems, processing data, and influencing decisions.

Your role will be crucial in shaping Square's understanding of our customers. Those solutions will unveil actionable insights to enhance business decisions and offer superior experiences to our customers. Our existing tech stack comprises GCP, Python, Looker, and SQL.

Your responsibilities will be to:

• Direct cross functional analytics projects from inception to completion: forge relationships with associated teams, construct and organize, gather and scrutinize data, and summarize and present key revelations supporting decision making
• Work with engineers to propagate best data practices and execute analytical solutions
• Cooperate with business leaders, subject matter experts, and decision-makers to establish success parameters and optimize new products, features, policies, and models
• Apply your analytical tools know-how and scientific precision to produce actionable insights
• Communicate crucial results to top executives using verbal, visual, and written media

Qualifications

You possess:

• 3+ years of analytics experience and a Bachelor’s degree or equivalent
• Proficiency in SQL, Python, and Machine Learning, along with experience in exploring and comprehending large, complex data sets & data systems
• Experience collaborating with both technical and non-technical partners, including creative professionals and product marketing managers
• Experience working on business and product initiatives that concentrate on growth and customer retention
• Familiarity with statistical and machine-learning techniques to solve practical business problems like hypothesis testing, cross-selling, and predicting customer churn
• Experience handling a backlog and performing independently

Additional Information

Block adopts a market-oriented approach to remuneration, and compensation may vary based on your location. U.S. locations are classified into one of four zones depending on the area's labor cost index. The successful candidate’s starting salary will be determined based on job-related skills, experience, qualifications, work location, and market trends. These ranges may be adjusted 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