Senior Data Scientist, Commercial Analytics

• Full-time
• Cost Center Hierarchy: Product
• CKO Department: Technology

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.

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.

About the role:

As we scale our business, we want to build the next-generation growth prediction engine for Checkout.com. As a Data Scientist, you’ll work closely with our Strategic Finance team and wider Revenue Operations and Commercial teams. You'll develop a deep understanding of how the payments industry works. You'll build and own our growth forecasting engine that will inform the strategic and commercial direction of Checkout.com. You'll actively help drive the change in operational processes to improve data quality and completeness while continuously unveiling insights that can guide our Strategic Finance and Commercial Leadership.

How you'll make an impact:

1. Working closely with Strategic Finance, you'll develop and maintain revenue growth modeling. This will be a critical piece of delivery that enables everything we do, including how we plan and run the business.
2. Support commercial and financial leaders with insights and analysis to plan commercial and business strategy.
3. Work closely with the wider Commercial and Revenue Operations team to increase the quality and availability of commercial data.
4. Lead by example, your team, and the broader data community by applying best practices in analytics from data collection to analysis.

Minimum Requirements:

1. Prior experience as a Sr. Data Scientist in a commercial set-up, delivering Customer LTV, Churn, and Revenue growth models to aid business planning.
2. Demonstrable experience applying statistics and data science techniques, building predictive models.
3. Strong communicator, able to explain complex technical data topics to non-technical colleagues.
4. Prior experience working directly with senior stakeholders, including VPs and executives.
5. Excellent data interrogation skills using SQL and Python.
6. While it’s not mandatory, prior experience in an Enterprise Sales environment would be helpful.

Apply without meeting all requirements statement:

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.

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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