Head of EU Books Science
Amazon
Luxembourg , LU
il y a 4j

DESCRIPTION

The EU Books team is looking for an Data Science Manager to build tools and models, and conduct analysis that help us delight and inspire readers by making it easy to read more and get more out of reading.

Success in this role will require the courage to chart a new course. You will manage your own team to understand all aspects of the customer journey.

  • You and your team will inform senior business leaders by providing insights and building models that help us engage with customers across their entire digital and physical books experience;
  • and will help us discover and define problems, and apply quantitative solutions to problems to impact our books business.

    You will be working with cutting edge technologies that enable big data and parallelizable algorithms. You will play an active role in translating business and functional requirements into concrete deliverables and working closely with software development teams to put solutions into production.

    The ideal candidate will be :

  • A Well-Rounded Athlete Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team.
  • You nimbly overcome barriers to deliver the best products more quickly than expected.

  • A Perpetual Student You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.
  • A Skilled Communicator You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.
  • A Trusted Advisor You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
  • An Inventor at Heart You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations.
  • Your customers marvel at your creative solutions to challenges they had not yet identified.

  • A Fearless Explorer You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.
  • BASIC QUALIFICATIONS

  • Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
  • 5+ years of experience working in data science in a technology company
  • 2+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and / or Economists
  • Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
  • Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track
  • Management experience for working on cross-functional projects
  • History of publishing research
  • PREFERRED QUALIFICATIONS

  • A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
  • 7+ years of experience working in data science in a consumer product company
  • 4+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and / or Economists
  • 4+ years of experience managing data scientists, including intermediate managers
  • Professional experience in software development (software design and development life cycle)
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
  • Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems
  • NicheTech #NicheTechLUX

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