Data Scientist

Data Scientist - ARAUCO North America

Join our Atlanta team as a Data Scientist! This role is hybrid: 3 days onsite and 2 days remote each week, located at our Corporate Office in the Perimeter area. It reports directly to the Technology and Innovations Manager.

Location:

Atlanta, GA

Salary: $90,000.00 - $

• Bachelor's or Master's degree in Data Science, Industrial Engineering, Operations Research, Applied Mathematics, or Computer Science.
• Recent graduate or professional with experience in data science, optimization, or AI model development (industry experience preferred).
• Strong proficiency in Python (Pandas, Num Py, Sci Py, PuLP, OR-Tools, or Pyomo).
• Experience with SQL/Big Query and cloud-based data platforms (Azure and Google Cloud preferred).
• Familiarity with SAP datasets or ERP-related data structures is a strong plus.
• Working knowledge of Qlik Sense and Power Platform (Power Automate / Copilot Studio) is desirable.
• Excellent problem-solving and communication skills with the ability to explain complex models to executives and operational teams.
• Willing to travel 25% of the time (~ one week out of the month).
• Comfortable working in both an industrial environment and a corporate setting.

• Design and implement optimization and simulation models to solve business challenges such as production scheduling, cost-to-serve routing, inventory balancing, and pricing elasticity.
• Create and deploy computer vision solutions for safety, process monitoring, quality control, and automation (e.g., image recognition, object detection, anomaly detection).
• Develop heuristic and machine learning models using Python, Big Query ML, and Azure services.
• Collaborate with data engineers to ensure reliable and efficient data pipelines from SAP and other enterprise systems.
• Translate business requirements into mathematical models (linear programming, mixed-integer, constraint-based, or stochastic optimization).
• Build and maintain dashboards and decision-support tools.
• Prototype and deploy optimization microservices or AI agents integrated into business workflows.
• Conduct model validation, sensitivity analysis, and post-implementation reviews to measure impact.
• Contribute to the citizen development framework, supporting business users in applying advanced analytics responsibly.
• Document methodologies and communicate insights clearly to technical and non-technical stakeholders.

• An attractive compensation package with bonus eligibility.
• Health plans with options that meet your needs, including a wellness program, gym reimbursement, and additional benefits such as pet insurance, legal insurance, employer-paid and voluntary life insurance, and more.
• Paid maternity and paternity leave, a competitive vacation package, and company and floating holidays designed to support your work-life balance.
• Retirement planning options, including generous employer contributions.
• Opportunities to learn and develop, including a tuition reimbursement program.