Data Scientist

Georgia-Pacific is hiring a Data Scientist to support its manufacturing operations from its Atlanta Collaboration & Support Center. The role develops and deploys scalable statistical, machine learning, and deep learning models, and partners with business and engineering teams to improve facility safety and operational efficiency.

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 insurance
• Disability benefits
• Retirement benefits
• Paid vacation/time off
• Educational assistance
• Infertility assistance, paid parental leave, and adoption assistance may also be included
• Specific eligibility criteria are set by the applicable Summary Plan Description, policy, or guideline, and benefits may vary by geographic region.

Company Overview