checkout.com - Senior Product Data Scientist

• Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses. • Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks. • Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions. • Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams). • Experience: Prior experience or a strong internship background in product analytics, risk/compliance data, or a high-growth tech environment is a plus. • It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. • Life at Checkout.com http://Checkout.com • We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. • Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. • For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/