Data Scientist - Supply Chain

Build at Auger

About the Team & Role

What You’ll Do

• Understand how customer businesses actually operate: how work flows, where decisions are made, and what good looks like operationally.
• Interpret customer data and assign context — figure out what the data means, how entities relate, and where the gaps and inconsistencies are.
• Form and test hypotheses using data to prove or disprove ideas about the system and the relationships between entities within it.
• Build inference techniques and regression models that extract signal and quantify relationships.
• Translate business logic and objectives into mathematical constraints and quantifiable calculations.
• Identify missing concepts needed to close process and data loops — spot what isn't there yet but needs to be.
• Serve as the critical link between applied science and data engineering: translate scientific requirements into engineering specifications and vice versa.

What You Bring 

• Master's degree in Data Science, Statistics, Applied Mathematics, or a related quantitative field; undergraduate degree in Engineering, Mathematics, Economics, or Computer Science.
• Strong proficiency in Python and SQL; comfortable working with large, messy, real-world datasets.
• Experience with machine learning and optimization models, with strong statistical intuition — you notice when results look wrong and can articulate why.
• Enough familiarity with data pipelines and infrastructure to have productive technical conversations with data engineers.
• Sharp analytical instincts paired with strong common sense: you can tell when something doesn't add up, and you use data to prove or disprove it.
• A builder's mindset — you break problems into testable components, take things apart, and improve them.
• Comfort with ambiguity and a bias toward asking the right question before assuming the right answer.
• Supply chain and logistics experience is ideal. Hands-on experience with any complex, interrelated physical system is highly beneficial. Candidates who demonstrate the smarts, drive, and curiosity described above are encouraged to apply — we hire for potential.

Compensation & Benefits