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Data scientist
  • Python
  • Machine Learning
  • Tableau
  • Excel
  • Matlab
  • Modeling
  • Business Intelligence
Avery Dennison
38560 Champ-sur-Drac
148 days ago
Company Description

Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in over 50 countries. Reported sales in 2019 were $7.1 billion. Learn more at

Job Description

Located in one of our largest sites of Luxembourg or Champ-sur Drac, you will be reporting to the Quality & ELS Director. In this key role, you will partner with the entire Supply Chain & Operation organization on their journey towards Digitalization and Manufacturing For Future Initiative.

You will play a key role in driving Business transformation and deliver value through continuous improvements in productivity, service and customer excellence as well as enlarging the required analytical skills of the organization on our journey in becoming a digital company.

We are looking for a candidate to join our Supply Chain & Operations - Manufacturing For Future team to help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even more value to the organisation. Your primary focus will be in understanding the Supply Chain & Operation Processes and the problem they’re facing, using your analytical mindset to gather and dig into relevant data, research, train, test models and modeling techniques suitable to solving the problem, and delivering results back to the business in a tangible and coherent way.

2020/21 main goals will be to drive substantial improvements on Operating assets applying Advanced Analytics & Data Science Technique on productivity improvement projects.

Responsibilities Include:


  • Enhance data collection procedures to include information that is relevant for building analytic systems, enabler problem solving investigation

  • Process, clean and verify the integrity of data used for analysis

  • Research, train, and test models including feature selection, building and optimizing classifiers, predictive using machine learning techniques


  • Identify improvements to current processes and investigate future opportunities to the various functions in the organisation

  • Support strategic efforts to engage the wider organization in this space


  • Establish and maintain a strong working relationship with our key business users to support increasing use of data science to improve operational and financial performance

  • Deliver results in a partnering and collaborative style by influence stakeholders

  • Manage testing cycles

  • Provide training and coaching services to key users on the built solutions.

  • Doing ad-hoc analysis as required and presenting results in a clear manner

  • Pursuing a Master’s (preferred) or Bachelor's Degree (required) in Business Analytics, Mathematics, Statistics, Computer Science, or equivalent degree with a data science focus is required.

  • Experience with at least one of the following: Python, R, STATA, MatLab, etc.

  • Familiarity around common packages for data wrangling/munging, testing/analysis, and visualizations

  • Excellent applied statistics skills, such as distributions, statistical testing, statistical modeling, etc.

  • Excellent understanding of machine learning techniques and algorithms.

  • Excellent communication and partnering skills within a matrix organization

  • English is mandatory, French and German are a strong plus

  • You have the ability to multi-task and you can manage multiple projects at the same time

  • Open for travelling at a minimum of 50% of your time

  • Nice to haves: Exposure to Business Intelligence tools (Oracle BI, Cognos, Tableau, etc.), Six Sigma Certification (Greenbelt / Blackbelt),

Additional Information

Our culture is innovative and collaborative. We are committed to diversity in the workplace, both for employees and for the company. Avery Dennison is a great place to work for everyone.

We offer:

Workplace flexibility

Structured learning and development

Mentorship program

Total competitive rewards

We look forward to receiving your application.

Avery Dennison is an equal opportunity employer.

If you are interested in knowing more about our Diversity & Inclusion approach, please go to

We do not accept unsolicited reference mailings or Curriculum Vitae from sources other than applicants directly.

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