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
We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. You will also manage core operational metrics, advise senior stakeholders on Risk controls, and build processes to root out high-risk activity across the Square platform of products.
The Risk Data Scientist will identify and prevent fraud on our most valuable sellers. You will lead experiments at scale to protect our diverse ecosystem of sellers from sophisticated bad actors. You will have a chance to own the key metrics, develop data and ETL pipelines. You will also directly impact our key success metrics via building machine learning solutions and risk detection rule development and deployment. Furthermore, you will partner with product, engineering, operations, policies, and sales to influence Square's global Buyer Fraud road map and procedures.
You Will:

• Diagnose problems and develop compelling, data-driven recommendations
• Design and implement experiments on features and changes within the Risk domain
• 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
• Experiment with 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 Square's leadership

Qualifications

• A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field
• 8+ years of relevant experience (or masters and 6+ years)
• Experience with SQL, Python, and Looker
• Strong statistics knowledge, especially in experimentation, hypothesis testing, and causal inference
• Experience with machine learning model development
• 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 in risk, trust and safety, payments, or spam prevention

Qualifications

• A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field
• 8+ years of relevant experience (or masters and 6+ years)
• Experience with SQL, Python, and Looker
• Strong statistics knowledge, especially in experimentation, hypothesis testing, and causal inference
• Experience with machine learning model development
• 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 in risk, trust and safety, payments, or spam prevention