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Square
Senior Data Scientist, Risk
at Square
about 1 year ago | 626 views | Be the first one to apply

Senior Data Scientist, Risk

Full-time
Remote

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 wouldn’t 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, 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 Summary

You Will:

đź“ŤDiagnose problems and develop compelling, data-driven recommendations đź“ŤDevelop and maintain multiple data pipelines and ETLs đź“ŤPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processes đź“ŤHave a chance to use machine learning tools to develop data-driven solutions. đź“ŤPromote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience đź“ŤDevelop executive presentations for Squares leadership

Qualifications

đź“ŤA BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field đź“Ť7+ years of relevant experience (or masters and 4+ years) đź“ŤExperience with SQL, Python and Looker đź“ŤExperience with machine learning model development and deployment đź“ŤExperience driving data-driven solutions and project-managing their implementation đź“ŤExperience answering unstructured questions and managing projects and tasks to a conclusion đź“ŤA passion for Square's mission đź“ŤExperience risk, trust and safety, payments, or spam prevention

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