Junior Full Stack Machine Learning Engineer Jobs in Harmony, NC

ADUSA Distribution is the distribution company of Ahold Delhaize USA, providing distribution services to one of the largest grocery retail supply chains in the nation. ADUSA Distribution fosters a culture that inspires and empowers our associates to always deliver exceptional service and value. Our team is supporting the supply chain network evolution to an integrated self-distribution model of the future, serving leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. To learn more about our company and the other supply chain companies of Ahold Delhaize USA, visit www.adusasc.com.

The Manager II, Modeling & Capacity Planning, is responsible for leading advanced analytical modeling and capacity planning efforts to support end-to-end supply chain performance. This role leverages quantitative modeling (linear and non-linear optimization, MILP, deep learning), machine learning algorithms, and AI techniques (computer vision, classification techniques, imputation) to translate complex operational data into actionable insights that optimize material flows, capacity utilization, network efficiency, service levels, and cost.

The position plays a critical role in shaping supply chain strategy by developing linear and non-linear models to fulfill demand by providing savings to the company. By partnering closely with Supply Chain Operations (Transportation and Distribution), Supply Chain Analytics, Finance, and Technology teams, this leader ensures data-driven decision-making that supports scalability, resilience, and continuous improvement across the supply chain

Network Modeling & Tool Development

• Develop custom optimization tools in Python using Gurobi to solve complex problems in transportation routing, inventory optimization, origin destination pairings. Design and execute scenario analysis to evaluate trade-offs related to demand variability, labor and asset capacity, network changes, and service-level commitments. Provide recommendations that balance cost, service, and operational risk.

Applied Machine Learning Techniques & Advanced Analytics

• Implement ML and AI techniques in supply chain use cases: predictive models, clustering techniques, computer vision, deep learning, and forecasting algorithms.
• Serve as a subject matter expert in supply chain modeling and advanced analytics, delivering tools and insights that enable proactive planning and optimized execution.

Strategic Planning & Roadmap Development

• Support the creation of strategic roadmaps for network growth, modernization, and optimization initiatives.
• Develop standardized evaluation models for expansion, network redesigns, and transportation optimization projects.
• Conduct scenario planning and forward-looking analyses to guide investment and operational decisions.

Capacity Planning Models

• Develop, maintain, and enhance capacity planning models that predict volume flows, resource requirements, and operational constraints across the supply chain network.

Operational Insights & Optimization

• Analyze supply chain performance trends to identify bottlenecks, inefficiencies, and improvement opportunities. Translate insights into actionable recommendations aligned with business objectives.

Cross-Functional Collaboration

• Partner with Operations, Transportation, Warehousing, Inventory Planning, Finance, and Technology teams to align modeling assumptions, KPIs, and planning outputs with real-world constraints and strategic priorities.

Performance Measurement & KPIs

• Define, monitor, and refine capacity and planning KPIs. Develop reporting and visualization tools to communicate performance, risks, and opportunities to leadership.

Testing & Validation

• Design and execute stress tests, simulations, and what-if analyses to validate models and quantify the impact of planning decisions.

People Leadership & Mentorship

• Lead, coach, and develop analysts and planners, ensuring consistent modeling standards, analytical rigor, and timely delivery of insights.

Technology & Data Partnership

• Collaborate with IT and data teams to ensure data integrity, improve data pipelines, and support system enhancements that enable scalable modeling and planning solutions.

Education

• Bachelor's degree in industrial engineering, Operations Research, Supply Chain Management, Applied Mathematics, Statistics, Computer Science, or a related quantitative field required.
• Master's Degree preferred (e.g., Supply Chain, Analytics, Operations Research, Computer Science, Statistics)

Experience

• 7+ years of progressive experience in optimization, network design, supply chain analytics, capacity planning, or forecasting
• 3+ years of experience leading advanced quantitative models or decision-support tools

We are an organization that values diversity and encourages all qualified individuals to apply without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law.
Our organization is committed to working with and providing reasonable accommodations to individuals with disabilities, including applicants.  If you have a disability and require assistance in the application process, please email recruiting@adusasc.com.