Atlanta Manufacturing Data Scientist – ML for Operations

Flint Hills Resources; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Georgia-Pacific's Collaboration & Support Center in Atlanta, GA seeks an experienced Data Scientist to support manufacturing operations with scalable models and practical insights. You will partner with engineers and business teams to deploy ML/DL solutions that improve safety, efficiency, and overall plant performance.

Ideal candidates bring 2+ years of applied ML experience, strong SQL and programming skills (Python/R/SAS), and a track record of production deployments within data science

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 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

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

Python

R

SQL

Time series analysis

Production deployment

Git/GitLab

Communication

Collaboration

Education

Bachelor’s degree or higher in data science related field

Tools

GitHub

GitLab

AWS

SAS ESP

Job description

Georgia-Pacific's Collaboration & Support Center in Atlanta, GA seeks an experienced Data Scientist to support manufacturing operations with scalable models and practical insights. You will partner with engineers and business teams to deploy ML/DL solutions that improve safety, efficiency, and overall plant performance.

Ideal candidates bring 2+ years of applied ML experience, strong SQL and programming skills (Python/R/SAS), and a track record of production deployments within data science