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Square
Senior Data Scientist, Risk
at Square
8 months ago | 539 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:

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

Qualifications

📍A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field 📍7+ years of relevant experience (or masters and 4+ years) 📍Experience with SQL, Python and Looker 📍Experience with machine learning model development and deployment 📍Experience driving data-driven solutions and project-managing their implementation 📍Experience answering unstructured questions and managing projects and tasks to a conclusion 📍A passion for Square's mission 📍Experience risk, trust and safety, payments, or spam prevention

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