Company Description

Avery Dennison (NYSE:AVY) is a global leader in labeling and packaging materials and solutions. The company applications and technologies are an integral part of products used in every major market and industry. With operations in more than 50 countries and more than 25,000 employees worldwide, Avery Dennison serves customers with insights and innovations that help make brands more inspiring and the world more intelligent. 
Headquartered in Glendale, California, the company reported sales of $6.3 billion in 2014. Learn more at www.averydennison.com.

ABOUT AVERY DENNISON RBIS

Avery Dennison RBIS, a global leader in apparel and footwear industry solutions, is a $1.6 billion division of Avery Dennison (NYSE: AVY). Avery Dennison RBIS provides intelligent creative and sustainable solutions that elevate brands and accelerate performance throughout the global retail supply chain. We elevate brands through graphic tickets, tags and labels, embellishments and packaging solutions that enhance consumer appeal. We accelerate performance through RFID enabled inventory and loss prevention solutions, price management, global compliance, and brand security solutions.
Based in Westborough, Massachusetts Avery Dennison RBIS responsibly serves the global marketplace with operations in 115 locations, 50 countries, across 6 continents. For more information, visit www.rbis.averydennison.com.

We are looking for a passionate Data scientist looking for that next challenge in their career to define an entire data architecture and to roll up your sleeves to implement it. This pivotal role will be part of a new team focused on accelerating our data science strategy. In this role, you will partner with the entire RBIS organization on their journey towards Digitalization across Products, Manufacturing, and Customer Experience.

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 advancing the required analytical skills of the organization on our journey in becoming a digital company. 

We are looking for a candidate to join our Digital Platform team to help us establish, build, and deliver a Data Strategy that unlocks the information hidden in vast amounts of data.  This role is critical in building the foundation of our business around data to unlock new ways of manufacturing products, new ways of engineering products, and new ways of interacting with customers. Your primary focus will be in establishing a unified data strategy across IOT, ERP, and Sales, understanding the processes and problems our customers are 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 establish a benchmark of data and insights from IOT devices for Factory 4.0.

Responsibilities Include:

Solutioning

• 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

Innovation

• 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

Partnership

• 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

Qualifications

• 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, Snowflake, DataBricks, 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, Mandarin is 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, Qlik, etc.), Six Sigma Certification (Greenbelt / Blackbelt), 

All your information will be kept confidential according to EEO guidelines.

Additional information

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.