Senior Data Scientist - Payment Success
Checkout.com
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. About the team Payment Success Management (PSM) is a merchant-facing team that diagnoses and fixes payment performance problems. When a merchant's performance falls short of expectations or trails another payment provider, we find the root cause and close the gap. This role supports US-based merchants and works alongside our account managers and technical account managers. How you'll make an impact
- Own merchant performance engagements from start to finish, typically about three months each: kickoff, diagnosis, fixes, A/B testing and reporting results.
- Dig deep into large, complex datasets to find the root cause of performance gaps. Merchants tell us there's a problem, not where it is.
- Turn your findings into hypotheses, run A/B tests and other experiments to prove them, and measure the uplift.
- Understand how our machine-learning optimization engine makes decisions. Spot patterns where it gets things wrong and work with our ML engineering team to fix them.
- Present your findings and results to merchants and non-technical stakeholders as a clear, persuasive story.
- Use automation and AI to make the team's day-to-day work more efficient.
- Share what you learn across teams. The problems we solve are rarely the same twice.
- 2+ years of experience using data to drive measurable results, such as revenue uplift, cost reduction or efficiency gains, in a role where you owned the metrics and the decisions.
- Strong SQL and Python skills for analysis. You should be confident checking your own queries, and any AI-generated code, for accuracy. You don't need to write production-quality code, and we'll teach you Go.
- Natural curiosity. You enjoy solving problems that don't have a ready-made answer.
- The ability to explain complex analysis clearly to non-technical audiences.
- Payments experience isn't required. We'll teach you everything you need in your first weeks.
- We'd love to hear from people with consulting backgrounds, where you linked client teams and technical teams, or startup backgrounds, where you owned and optimized things end to end.
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