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Company Description
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 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.
Data Analytics at Checkout.com is a highly visible function that critically impacts the company's success. It underpins our business plans and forms the basis for how we set our company objectives. You'll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers.
How you'll make an impact:
- 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.
- Support commercial and financial leaders with insights and analysis to plan commercial and business strategy.
- Work closely with the wider Commercial and Revenue Operations team to increase the quality and availability of commercial data.
- Lead by example, your team, and the broader data community by applying best practices in analytics from data collection to analysis.
Qualifications
- Prior experience as a Sr. Data Scientist in a commercial set-up, delivering predictive models/timeseries models to aid sale/demand forecasting
- Demonstrable experience applying statistics and data science techniques to model customer behaviour and increase sales efficiency
- Strong communicator, you can explain complex technical data topics to non-technical colleagues.
- Prior experience working directly with senior stakeholders, including VPs and executives
- Excellent data interrogation skills using SQL and Python
- While it's not mandatory, prior experience in an Enterprise Sales environment would be helpful
Hybrid Working Model:All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We've worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
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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