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    Data Scientist - London, United Kingdom - Checkout Group

    Checkout Group
    Checkout Group London, United Kingdom

    4 days ago

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    Description
    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'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.

    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 also be part of the broader data function, a team of Data Engineers, Analytics Engineers, Data Scientists, and Data Product Managers.

    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.

    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
    hypothesis testing, regression)
    Hiring hard-working people and giving them a community to thrive in is critical to our success.
    Hiring hard-working people and giving them a community to thrive in is critical to our success.
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