Associate Data Scientist

Our Team

You know us already! We make Brawny® paper towels; Dixie® paper cups and plates; Angel Soft® bath tissue; enMotion® paper towel dispensers, DensGlass® gypsum board and Plytanium® plywood you see in your big box home improvement stores and much more! We employ about 35,000 people who want to make a positive difference in today's world by creating real long-term value for our customers.

We have an opportunity on the Data Science team at Georgia-Pacific's Collaboration & Support Center, located in Atlanta, GA.

We are looking for an Associate Data Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations.

Working closely with business partners and engineers, the Data Scientists support operations through development and deployment of useful and scalable statistical, machine learning, and deep learning models that make our facilities safe, efficient, and optimal.

What You Will Do



* Analytics Project Ownership: Own all aspects of analytics projects from start to finish - pursuing innovative ideas, developing models, uncovering, communicating actionable insights, and implementing solutions to capture value.


* Works with various engineering teams, owns end-to-end solution development and scaling focused on Operations (manufacturing) challenges.


* Partnership: Develop and maintain relationships with key business partners to enable improved decision making.


* Focus needs to remain on building minimum viable product towards solving majority of the issue instead of "perfecting" the solution, unless critical to safety.


* Ability to operate independently and self-manage

Who You Are (Basic Qualifications)



* Bachelor's Degree or higher in a field related to data science such as Engineering Mathematics or Business Analytics or Statistics or Computer Science or Data Science.


* 2+ years of experience creatively applying machine learning, outside of academic datasets, using a formal programming language (Python or R or SAS)


* Experience in data science that encompasses having models deployed to production with successful outcomes for users


* Experience with unsupervised and supervised machine learning


* Experience working with large data sets


* Experience with cleaning, manipulating, analyzing, and modeling time series data

What Will Put You Ahead



* Master's Degree or higher in a field related to data science such as Data Science, Mathematics, Engineering, Statistics, Computer Science, or Business Analytics.


* Experience in SAS Code for the purpose of statistics or machine learning


* Experience manipulating data, computing, memory, optimization; experience with cloud computing (AWS)


* Experience with SAS Event Stream Processing (ESP)


* Experience working with Manufacturing Operations


* Experience working with loT data

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