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. 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. Join us to build the digital economy of tomorrow.
Job Description
As a Senior Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You'll be a co-owner of a product, driving it to success in partnership with other cross-functional team members.
You'll also be part of the broader data function, a team of Data Engineers, Analytics Engineers, Data Scientists, and Data Product Managers.
We're a new but highly visible function within Checkout.com, so this is an exciting opportunity to drive a positive impact.
How you’ll make an impact:
- You'll be responsible for analytics of a product domain. You'll define, measure, and present metrics, deliver actionable insights.
- Contribute product roadmaps through data-based recommendations and continuously define high-impact areas for improvement.
- Working closely with Data Analytics Engineers and Software Engineers to make sure we collect and model the right data to produce relevant business insights.
- Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues.
- Build experiments and analysis frameworks to quantify the ROI of product development.
- Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis.
Qualifications
- Strong communicator, you're able to explain complex technical topics to non-technical team members.
- Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods.
- Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data-informed solutions.
- Excellent data interrogation skills with SQL.
- Knowledge of applied statistics (e.g., hypothesis testing, regression).
Additional Information
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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