Senior Product Data Scientist
London, United Kingdom
Checkout.com
Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.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 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
What we’re looking for
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
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.
Take a peek inside life at Checkout.com via
- Our Culture video https://youtu.be/BEwnpHuadSw
- Our careers page https://www.checkout.com/careers
- Our LinkedIn Life pages bit.ly/3OaoN1U
- Our Instagram https://www.instagram.com/checkout_com/
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.
Take a peek inside life at Checkout.com via
- Our Culture video https://youtu.be/BEwnpHuadSw
- Our careers page https://www.checkout.com/careers
- Our LinkedIn Life pages bit.ly/3OaoN1U
- Our Instagram https://www.instagram.com/checkout_com/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics SQL Statistics Testing
Perks/benefits: Flex hours
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