Senior Data Scientist

📁
Business Analysis/Economics
💼
GEORGIA-PACIFIC
📅
065961 Requisition #
Georgia-Pacific
Who is Georgia-Pacific?Watch to find out!




We are looking for a Senior Data Scientist. The Decision Analytics Manufacturing Operations Data Science team is on the front lines of projects that impact the operations of GP's largest manufacturing assets.  Opportunities to optimize the existing operations, work hand in hand with mill operations teams to decipher what process settings drive certain manufacturing results and develop new operating envelopes to improve operations or predict future behaviors of product as it moves through the manufacturing are just some of the challenging, engaging projects our team is involved with every day.

 

Our Data Scientists are working with some of the emerging machine learning methods to solve some of GP's highest value manufacturing challenges.  They are connected to the project from ideation to delivery of an operational real time model, working within a Python environment, utilizing a variety of packages to deliver high value results to the business and partner with our data teams, project managers, information management and governance team and Knowledge and Change management SMEs.  Our Data Scientists gain exposure to senior leadership as they showcase their results to key stakeholders in the business, demonstrating the superior value of their work.  Many of our projects result in game changing solutions and several of our Data Scientist's have received patents for their work.

 

Our internal customers range from Dixie plates and cups, bath tissue products like Quilted Northern and Angel Soft, household towels like Brawny and Kirkland Signature, cellulose fluff pulp that is shipped to our customer for hygiene and filter products, containerboard that is used by our box plants to create a wide variety of boxes, to building products like OSB and lumber.

 

Our group of highly skilled, enthusiastic data scientists is redefining what's possible for GP by utilizing the massive amount of process and business data to transform GP.  We invest in our team by encouraging attendance at industry conferences and ongoing education opportunities enabling them to stay on the dynamic ever-changing data science landscape and bring new methods and techniques to their projects.

 


A Day In The Life Typically Includes:


  • Own all aspects of analytics projects from start to finish; pursuing innovative ideas, developing models, uncovering and communicating actionable insights, and implementing solutions to capture value. 
  • Work with various functional teams; owning end-to-end solution development and scaling focused on operations challenges.
  • Develop and maintain relationships with key business partners to enable improved decision making.
  • Focus on building minimum viable products toward solving the majority of the issue instead of “perfecting” the solution, unless critical to safety.
  • Engage with internal customers to leverage your critical thinking skills to apply data science modeling solutions.



What You Will Need:


Basic Qualifications:
 
  • Bachelors’ degree in Mathematics, Statistics, Computer Science, Engineering, or Information Systems field.
  • 4+ years of experience with data analysis and statistical modeling.
  • 2+ years of experience with machine learning techniques.
  • At least one year of professional experience with Python.
  • At least one year of professional experience with big data and cloud solutions (e.g., Hadoop, AWS S3 and/or SAS).

What Will Put You Ahead?


Preferred Qualifications:
  • Master’s Degree in Mathematics, Statistics, Computer Science or Engineering, or related field.
  • Experience with visualization tools (e.g., Tableau, R, Power BI).
  • Experience with manufacturing optimization, supply chain forecasting, and pricing.

Want to learn more about Georgia-Pacific?



Salary and benefits commensurate with experience.
Equal Opportunity Employer.
Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test.

This employer uses E-Verify. Please visit the following website for additional information: www.kochcareers.com/doc/Everify.pdf

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