Auger
Data Scientist - Supply Chain
Bellevue, USA
Sponsorship not specifiedDetected 37 days ago
PythonSQLMachine LearningData EngineeringData ScienceStatisticsSupply ChainLogistics
About the role
- About the Team & Role Auger is hiring a Data Scientist to help turn raw customer data into the structured understanding within our ontology that powers autonomous operations and execution.
- This role sits at that connection point.
- You will work shoulder-to-shoulder with seasoned supply chain experts, learning the domain on the job while bringing the analytical horsepower to model it.
Responsibilities
- Russell Allgor's supply chain science team builds advanced AI and optimization systems for some of the most complex supply chain problems in the world, and bringing that science into production requires a tight connection between the models and the data that feeds them.
- Your core work will be to understand how a customer's business actually operates, interpret the data their systems produce, and build the inference, regression, simulation, and optimization logic that closes the loop between business processes and the world model that represents them.
- You will deeply understand what the models need, why they need it, and how supply chain data behaves in practice, then translate that understanding into clear, actionable requirements for the engineers building the underlying infrastructure.
- When a model moves toward production, you will own the quality validation to make sure it works in the real world.
- If you are smart, curious, driven, and coachable, and you like to build things that work, you will thrive here.
- Build inference techniques and regression models that extract signal and quantify relationships.
Requirements
- 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
- 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.
- Comfort with ambiguity and a bias toward asking the right question before assuming the right answer.
- Hands-on experience with any complex, interrelated physical system is highly beneficial.
- What You Bring Master's degree in Data Science, Statistics, Applied Mathematics, or a related quantitative field
- you can tell when something doesn't add up, and you use data to prove or disprove it.
This listing is sourced directly from Auger's careers page and normalized into a canonical job model.