Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment 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, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And 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 all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You’ll build processes and controls to root out high-risk fraudulent activity across the Square platform. You will also manage top level Risk KPIs, establish core operational metrics, formulate strategy and implement controls to detect and prevent fraud on the platform. Apart from working on fraud problems that pose a direct financial risk to our Sellers and to Square, this role will also focus on detecting and rooting out abuse of our customer messaging capabilities (e.g. email marketing, invoices, chat etc.) for the purpose of phishing, scams or spam.

You will lead experiments to measure the effectiveness of our strategies. You will partner with product, engineering, risk operations/policy and sales teams to influence Squares global Risk road map and processes. You will define, set targets for and own key metrics around financial fraud and messaging abuse and be responsible for strategies to achieve the targets.

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

• 5+ years of relevant experience post Bachelors degree (or Masters with 3+ years of relevant experience)
• Experience with SQL, Python and Looker
• 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/phishing/scam prevention and detection is preferred but not a requirement for the role.