Data Scientist, EU Packaging
Amazon.com
Luxembourg, LU
il y a 1j

Are you interested in creating an impact in customers’ lives by optimizing packages and processes at a scale that few will ever experience?

We're looking for an experienced, self-driven, analytical, and creative Data Scientist to drive state-of-the-art solutions for EU Packaging.

With over a billion unique products at Amazon, any advancement in sustainable packaging happens at a big data scale! If you are excited by the prospect of analysing and modelling terabytes of data to solve real world problems, owning end-

to-end business problems and directly impact the profitability of the company, then this role is for you.

This position requires the ability to think big and dive deep, and embody a unique mix of thought leadership and technical acumen.

This candidate will possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.

In addition, this opportunity requires excellent troubleshooting, problem solving, and the ability to succeed in a fast-

paced, technical environment. The ability to work independently and deal with an ambiguous environment is a must. Ownership of work is extremely important, and candidates should have a proven record of driving projects and strategic initiatives to their completion.

The ideal candidate is motivated, agile, with strong time management and project management skills, and is technical and analytical.

The candidate will also have a passion for helping us to identify and promote sustainability issues and opportunities at Amazon.

Major Responsibilities

  • Analyse and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
  • Design, development and evaluation of highly innovative models for predictive learning
  • Research and implement EU Packaging technical specifications platform
  • Work closely with operations staff to optimize various outbound packaging processes
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Passion for sustainability
  • Experience in using Python, R, SAS, Matlab, Spark, or other statistical / machine learning software
  • Experience with Tableau, Power BI
  • Experience with SQL or NoSQL databases
  • Strong structured thinking and problem solving ability
  • Exceptional interpersonal and technical communication skills, both written and verbal
  • Experience of packaging industrial, technical specifications creation and quality controls
  • Bachelor degree required in Business, Engineering, Computer Science
  • Experience with AWS features (S3, Redshift) is a plus
  • Experience with Quality Control and Audit Process for packaging suppliers
  • Solid experience of research and business experience in industrial packaging development
  • About our rewards

    We’ll expect you to go the extra mile, but we’ll also make sure you’re well rewarded. As well as a competitive salary, stock units and site performance-

    related pay potential, we offer a whole host of other benefits, including an employee discount.

    Additionally, you will find yourself in a stimulating environment where you can develop processes as well as yourself as an individual by working with some of the best and brightest minds in the industry.

    Our rapidly growing organisation also offers many opportunities for building a diverse and rewarding career.

    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.

    We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

    By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-

    wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.

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