Manufacturing Data Scientist - End-to-End ML for Ops

Georgia-Pacific; Atlanta (GA); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible spending and health savings

Life insurance

Paid vacation/time off

Educational assistance

Parental leave

Retirement

Job summary

Georgia-Pacific in Atlanta, GA is seeking a Data Scientist to join the Collaboration & Support Center Data Science team, focusing on improving manufacturing operations through statistical learning and model-driven insights. You will develop and deploy ML models to enhance safety, efficiency, and performance.

The role covers end-to-end analytics, collaborating with engineering teams, communicating insights to business partners, and delivering MVP solutions in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in a data science-related field such as Engineering Mathematics, Business Analytics, Statistics, Computer Science, or Data Science.
• 2+ years of experience applying machine learning creatively outside academic datasets, using Python, R, or SAS.
• Experience deploying models to production with successful outcomes for users.
• Experience with both unsupervised and supervised machine learning.
• Experience working with large data sets.
• Experience cleaning, manipulating, analyzing, and modeling time series data.
• Experience 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 using code version control platforms such as GitHub or GitLab.
• Legal authorization to work permanently in the United States for any employer without requiring visa sponsorship.

Responsibilities

• Own analytics projects from start to finish, including pursuing innovative ideas, developing models, identifying and communicating actionable insights, and implementing solutions to capture value.
• Partner with engineering teams to lead end-to-end solution development and scaling for operations-focused (manufacturing) challenges.
• Build and maintain relationships with key business partners to support improved decision making.
• Maintain focus on delivering minimum viable products that solve most of the issue, while only refining further when critical to safety.
• Operate independently and self-manage across project work.

Skills

Strong communication

Collaboration

Project management

Problem solving

Education

Bachelor’s degree or higher in data science-related field

Master’s degree preferred

Tools

Python

R

SAS

SQL

GitHub

GitLab

Job description

Georgia-Pacific in Atlanta, GA is seeking a Data Scientist to join the Collaboration & Support Center Data Science team, focusing on improving manufacturing operations through statistical learning and model-driven insights. You will develop and deploy ML models to enhance safety, efficiency, and performance.

The role covers end-to-end analytics, collaborating with engineering teams, communicating insights to business partners, and delivering MVP solutions in a fast-paced environment.