Avery Dennison is Everywhere You Look!
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 more than 50 countries. Reported sales in 2020 were $7 billion. Learn more at www.averydennison.com.

ABOUT YOUR ROLE: 

You will be joining Avery’s newly stood up Digital Data Factory (DFactory), a centralized team responsible for planning and executing the digital roadmap within Avery’s RBIS division. The DFactory will be filled with digital talent that will be working on the most important initiatives within RBIS to increase operational efficiency and unlock value for our customers, in close collaboration with internal resources and external partners.

​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.

YOUR RESPONSIBILITIES WILL INCLUDE:

• Formulating and leading guided, multifaceted analytic studies against large volumes of data
• Interpreting and analyzing data using exploratory mathematic and statistical techniques based on the scientific method
• Coordinating research and analytic activities utilizing various data points unstructured and structured and employ programming to clean, massage, and organize the data
• Experimenting against data points, providing information based on experiment results and providing previously undiscovered solutions to command data challenges
• Leading all data experiments tasked by the Data Science Team
• Coordinating with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Analysts
• Developing methodology and processes for prioritization and scheduling of projects
• Analyzing problems and determining root causes
• Defining company data assets, data models, and jobs to populate data models
• Working closely with all business units and engineering teams to develop strategy for long term data platform architecture

WHAT WE WILL BE LOOKING FOR IN YOU:

• Bachelor’s or Master’s degree in computer science, applied mathematics, statistics, machine learning, or other data centric disciplines 
• 5+ years of relevant industry work experience providing advanced analytics solutions
• 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
• Analytics skills: descriptive statistical modeling & algorithms, machine learning algorithms, modeling dataset building, optimization, data visualization, pattern/cluster/segmentation analysis, predictive analytics
• Analytics tools: Qlikview, Rapid Miner, Visual Basic, Apache, Oracle, SQL, GraphQL, NoSQL
• Additional experience in core analytic methods such as predictive modeling, customer segmentation/clustering, network analysis, supply chain optimization, etc.
• Proficiency with one or more programming languages: Java, NodeJS, Python, R
• Knowledgeable in Cloud and Big Data technologies: Microsoft Azure, Azure Data Lake, Databricks
• Business sense: Good knowledge of industry perspective and ability to translate business needs into data

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.