Data Scientist I, Machine Learning

Job title:

Data Scientist I, Machine Learning

Company

Checkout.com

Job 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 DescriptionAbout the RoleGlobal payments are complex and ever-evolving. At Checkout our data scientists leverage cutting-edge technology and data insights that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.We’re looking for scientists who bring fresh ideas, have a curious nature and are eager to deal with new challenges in a scientific environment which focuses on exploring how AI, ML and data can help to achieve the company’s strategic goals. You’ll get to work with teams from across Checkout.com’s portfolio of products and services who all have a real customer first philosophy.As a data scientist, on our Emerging Products pillar you will work on specific projects critical to Checkout’s needs by fostering innovation and developing pioneering solutions that complement our core enterprise offerings. Our goal is to explore new ideas and technologies, create products that meet the evolving needs of the digital payments space, and ensure our continued growth and relevance.How you’ll make an impact:

  • Be part of a mature data science team, and collaborate with cross-functional teams including product management
  • Bring ambitious research efforts to fruition, leading to a rigorous production launch and monitoring of observed results.
  • Unlock new product opportunities by leveraging new technologies and exploring new applications
  • Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout

QualificationsAbout You

  • Bachelor’s or Master’s degree in Computer Vision / Data Science
  • Proficiency in Python, scientific libraries, deep-learning and machine learning libraries, with a good understanding of software development principles.
  • Great communication and documentation skills
  • Experience working in agile environments and to interact effectively with a wide range of stakeholders
  • Excellent problem-solving skills and the ability to work independently as well as part of a team
  • Payments or financial knowledge is a plus, but not a necessity

Additional InformationApply without meeting all requirements statementIf 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 opportunitiesWe 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 Instagramhttps://www.instagram.com/checkout_com/

Apply without meeting all requirements statementIf 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 opportunitiesWe 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 Instagramhttps://www.instagram.com/checkout_com/

Videos To Watch
https://youtu.be/BEwnpHuadSwBalises associéesRÉSUMÉ DE L’ OFFREData Scientist I, Machine LearningCheckout.comParisil y a 2 joursS/OTemps pleinPostuler maintenantEnregistrerSignaler cet emploiDemandeurs d’emploiEmployeursInformations légalesEntrepriseRechercher(modifier les préférences)© Copyright 2024 LesJeudis. Tous droits réservés. Toutes les autres marques déposées (logos, etc.) d’entreprise appartiennent à leurs propriétaires et ayants droits respectifs.

Expected salary

Location

Paris

Job date

Thu, 12 Sep 2024 07:47:31 GMT

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