Senior Data Scientist - Payment Success Paris

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

About the opportunity:

We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants’ payment flow, to achieve optimal conversion, compliance and cost.

Checkout.com is looking for a data scientist to automate research and investigations tailored for our Tier-1 merchants. This role encompasses the development of automation tools for monitoring, including dashboards and auto-generated presentations, as well as in-depth diagnostic solutions powered by machine learning and recommendation engines.

You will also work closely with Payment Performance Managers to ensure the delivery of a high level of service to our key merchants, underpinned by data-driven expertise. The ideal candidate must be a driven technologist with an affinity for problem solving and creating new tools.

What you'll be doing:

• Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
• Conduct deep-dive exploratory data analysis to uncover insights and anomalies.
• Conduct experiments and A/B tests to improve performance, including ML-based solutions.
• Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance.
• Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
• Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development.
• Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided.
• Drive a culture of cross-team learning and knowledge sharing.

Qualifications

5+ years experience as a data scientist, working with large and diversified data sets.

Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent.

SQL/ Python knowledge to extract & analyse data from our Data Warehouse.

Experience with Git & Spark, Databricks, Retool, API.

Ability to find creative and effective solutions for business problems.

Flexible, adaptable and has a willingness to learn.

Payments or Fintech experience is a plus.

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

Please submit CVs in English.

Additional Information

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to 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. We’ll be happy to support you.

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Location: Paris, FR

Posted Date: 11/12/2024