Data Scientist

Georgia-Pacific is hiring an experienced Data Scientist to support manufacturing operations. The role develops and deploys scalable statistical, machine learning, and deep learning models, and partners with business and engineering teams to deliver analytics solutions and improve decision-making.

Responsibilities

• 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

Skills

• 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 encompass 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
• Experience with writing and executing complex SQL queries
• Ability to manage and deliver multiple projects in a fast-paced environment
• Ability to work effectively in a collaborative team environment
• Experience with code version control platforms such as GitHub or GitLab
• Strong communication and collaboration skills, with experience gathering, translating, and implementing business requirements and feedback into technical solutions
• Legal authorization to work permanently in the United States for any employer without requiring visa sponsorship
• 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
• Proven experience designing, building, and productionizing GenAI solutions, e.g. prompt engineering, RAG, LLMs, Agentic AI and model evaluation
• Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management
• Experience using AI-powered development tools and coding agents (e.g., Devin, Cursor) to improve productivity

Benefits

• Medical, dental, and vision benefits
• Flexible spending and health savings accounts
• Life insurance, ADD, and disability coverage
• Retirement benefits
• Paid vacation/time off
• Educational assistance
• May also include infertility assistance, paid parental leave, and adoption assistance; eligibility criteria apply and benefits may vary by geographic region

Company Overview