About the company
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 wouldnāt work together. To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, weāve 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 ā 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. Weāre building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Summary
You will:
šPartner primarily with CIAM product, engineering, and design teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. You will also work closely with Risk, Payments, and other cross-functional teams. šProactively identify gaps and opportunities in our processes. Design and analyze experiments with the goal of increasing Squareās bottom line and ensuring Sellers' accounts are safe. šBuild ETL pipelines, dashboards, and machine learning models that enable monitoring of the health and performance of our core business. šBe the subject matter expert on CIAM data. Translate requests from internal and external partner teams into questions that can be rigorously answered with data. šCommunicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media. šEvangelize data best practices and be an advocate for a data-driven culture across Square.
Qualifications
You have: š2+ years of industry experience in data science, product analytics, or machine learning-focused roles. šProficiency in SQL and Python, as well as working knowledge in the application of statistical and modeling techniques; willingness to learn new technologies on the job. šProven track record of adding business value using data. šA strong Data Engineering background. Ability to ingest and analyze large data sources independently. šProficiency in at least one visualization tool (we primarily use Looker). šStrong written and verbal communication skills and the ability to build strong relationships and influence product partners. šPrior experience in account security and management is beneficial, but not required. šComfort working in a dynamic work environment.
