Product Data Scientist

Job description

Company Description We’re Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Operations and Compliance products. You'll focus on two main domains: AML Transaction Monitoring, where you will help optimize our rules-engine and scale predictive automation, and Merchant Care, where you will measure tooling efficiency and apply text analytics to drive product roadmaps. You'll help define how we measure the success of our products, collaborate with engineers on data collection, build analytical frameworks, and run insights to find product improvement opportunities. Data Analytics at Checkout.com is a highly visible function that critically impacts the company’s success. As part of this group, you'll have a strong support network of Senior Data Scientists, Analytics Engineers, and Data Product Managers to help you develop your technical and data science practice. How You’ll Make an Impact Efficiency & Product Measurement: Build frameworks to measure the operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care. Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Run historical data simulat…