Sr. AI/Machine Learning Engineer - Supply Chain

8+ years of experience in applied data science or machine learning, ideally in supply chain, operations research, logistics, or manufacturing.

Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and anomaly detection.

Strong coding skills in Python and fluency in SQL; experience developing and deploying production ML systems.

Familiarity with MLOps practices, including automated testing, CI/CD, model versioning, and monitoring.

Demonstrated track record building real-time inference pipelines and managing GPU/TPU resources.

Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, GCP, or Azure).

We are seeking a Senior Applied Scientist II to join our Supply Chain Innovation & Intelligence team.

In this role, you’ll be responsible for designing, developing, and deploying advanced machine learning and statistical models that optimize and transform our global supply chain.

From forecasting demand across thousands of SKUs to modeling supply risk using real-time IoT signals, you’ll apply cutting-edge techniques to solve complex problems with direct business impact.

You’ll work alongside data scientists, software engineers, and domain experts, collaborating cross-functionally with teams in Product, Engineering, Procurement, and Finance.

You’ll report to the Director of Supply Chain Innovation & Intelligence and play a key role in shaping the team’s roadmap, scientific agenda, and modeling standards.

This role is ideal for a deeply technical IC who thrives in ambiguity, thinks strategically, and enjoys end-to-end ownership—from ideation to deployment.