Internship: Data Scientist
Amazon
Luxembourg, Luxembourg
il y a 1j
source : Wizbii

DESCRIPTION

Amazon is looking for a data scientist to join the EU RME Predictive Analytics team to provide the technical expertise for sustaining the worldwide Global Specialty Fulfillment (GSF) Predictive Maintenance (PdM) Program.

The ideal candidate will be able to design, develop and deploy effective Machine Learning models for early detection of failures in GSF refrigeration and cold storage systems.

The developed ML models will allow to exploit the pattern found in the historical data in order to effectively identify future risk and opportunities as well as to optimize current processes.

This role requires an individual with excellent statistical and analytical abilities, professional experience applying Machine Learning methodologies and data engineering practices as well as outstanding business acumen and ability to work with various teams across Amazon.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.

Responsibilities :

You are a significant and autonomous contributor. Your work is consistently of high quality. You are able to use a range of data science methodologies to conduct analysis for cases when the solution approach is unclear that relate to a portion of a business or business process.

You apply a breadth of experience from practical application of data science techniques and tools to solve difficult business problems.

Your work is focused on team-level goals, medium size projects, and small subsets of larger goals. You are able to ramp up quickly on new areas where colleagues identify established solutions.

You are expected to consistently demonstrate a combination of the following :

  • You independently own and solve difficult business problems. These may be well-defined problems where the solution has not yet been outlined or approach to solve is unclear.
  • You deliver artifacts on medium size projects that affect important business decisions. You define the methodology and own the analysis.
  • You are able to gather and use complex data set across domains. You proactively gather data when it is not readily available.
  • You skillfully employ a range of data science methods, tools, and best practices. You are able to justify your approach.
  • You write clear and factually correct documents explaining technical concept to non-technical audience.
  • You have good working relationships with team-mates and peers working on related areas. You recognize discordant views and take part in constructive dialogue to resolve them.
  • You confidently train new team-mates about your customers, how your team’s solutions work, and how those solutions are reflected in the data.
  • PREFERRED QUALIFICATIONS

  • Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 2 years of working experience as a Data or Research Scientist.
  • Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
  • Experience with Industrial Controls / Automation.
  • Knowledge of SCADA / MES / ERP systems.
  • Knowledge of AWS Infrastructure, Redshift, Time Series / NoSQL Database & Technology
  • 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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