Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.

Avery Dennison is an equal opportunity employer.
Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via Requestaccomodation@eu.averydennison.com. 

Job Description

ABOUT YOUR ROLE: 

The Data Scientist will be joining the European Materials Group Finance team and will work on some of the most interesting and challenging business problems, with the goal to to drive better business insights, improve efficiency and unlock value for our customers. In this role you will interact with business leaders across functions and engage the business in data-driven debates. 

​You will utilize your skills and experience to systematically answer questions using data to provide actionable recommendations. You will commonly utilize advanced statistical analysis and machine learning techniques. You will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. A successful candidate will have demonstrated experience applying advanced analytics to a variety of business situations, such that they can efficiently and effectively develop solutions to a broad array of use cases.

YOUR RESPONSIBILITIES WILL INCLUDE:

• Interpreting and analyzing data using exploratory mathematic and statistical techniques based on the scientific method
• Formulating and leading guided, multifaceted analytic studies against large volumes of data
• Coordinating research and analytic activities utilizing various data points unstructured and structured and employ programming to clean, massage, and organize the data
• Analyzing problems and determining root causes
• Translating complex results into simple, clear conclusions and visualizations
• Explaining sophisticated data science concepts in an understandable manner
• Defining company data assets, data models, and jobs to populate data models
• Working closely with all European business units and cross functional teams to develop future models with the ability to link results to business processes
• Coordinating with Data Engineers to build data environments providing data identified by Knowledge Managers and Analysts
• Experimenting against data points, providing information based on experiment results and providing previously undiscovered solutions to command data challenges

Qualifications

WHAT WE WILL BE LOOKING FOR IN YOU:

• Bachelor’s, Master’s degree (preferred), or other advanced degree required in computer science, business analytics, applied mathematics, statistics, machine learning, or other data centric discipline
• 4+ years of relevant industry work experience providing advanced analytics solutions, with a focus on Forecasting based models. 
• Proficiency with one or more programming languages: Java, NodeJS, Python, R
• Knowledgeable in some Cloud and Big Data technologies, such as Microsoft Azure, Azure Data Lake, Databricks, Google Cloud Platform, Apache Spark
• Analytics skills: descriptive statistical modeling & algorithms, machine learning algorithms, modeling dataset building, optimization, data visualization, pattern/cluster/segmentation analysis, predictive analytics, Analytics tools and Technologies like Qlikview, Cognos, Visual Basic, Apache, Oracle, SQL, GraphQL, NoSQL 
• Exceptional record of academic achievement, professional accomplishment, project management, and leadership
• Passion for building and comfort working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
• Advanced analytical knowledge of data, ability to conduct big data analysis, data conditioning experience, programming advanced computing skill
• Additional experience in core analytic methods such as predictive modeling and customer and product segmentation/clustering
• Business sense: Basic knowledge of finance, manufacturing and commercial business processes and ability to translate business needs into data and explain complex concepts in an understandable manner
• Project lead experience of cross functional teams is strongly preferred

Additional Information

We offer:

• Attractive salary package
• Workplace & work hours flexibility
• Structured learning and development / Mentoring program 
• International environment 
• Events such as International Women’s Day, Earth Day, etc. 
• A growing and welcoming team with good spirit!

Who we are! - Our Story:

Every voice. Every day! Eight Values. One Team!

Being open to every voice, every day, brings our value of diversity to life and makes Avery Dennison a vibrant and engaging place to be. We understand diversity and equal opportunities as enrichment for our future-oriented work. Across our diverse, global team, every voice makes us stronger. When we listen to and learn from each other, there is no limit to what we can achieve together. Each of us is unique, and we appreciate bringing together different personalities and talents.

Avery Dennison is an equal-opportunity employer. In the EMEA region, we have these Employee Resource Groups: 

• EmpoWer - focusing on the engagement, mentoring, and promotion of women
• Mental Health - striving to provide a safe space for employees to discuss mental health issues in the workplace
• Unite - supporting the LGBTQI+ and ally community in the EMEA region

To find out more about all our employee resources groups globally as well as our Diversity, Equity & Inclusion approach, please go to our Diversity and Inclusion pages in the About Us section of our website: https://www.averydennison.com/en/home/about-us/diversity-and-inclusion.html 

At Avery Dennison, we do what we love, and we love what we do - Just click here, and get to know us better: Life @ Avery Dennison (linkedin.com/company/avery-dennison/life/emea)