Data Scientist - Supply Chain

Auger is the autonomous operating system for supply chains. It connects enterprise supply chain systems—ERP, WMS, TMS—into a single data layer, then uses AI to detect problems, evaluate trade-offs, and execute decisions automatically. The platform eliminates the coordination tax: the time and capital lost when disconnected systems force humans to become the integration layer between planning and execution. Actions that previously required days of meetings and manual coordination happen in seconds, within constraints the customer defines.

Founded by Dave Clark and backed by $100M from Oak HC/FT. Headquartered in Bellevue, Washington.

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. 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. 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. 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.

You will be a critical link between Auger’s applied science and data engineering teams. When data quality issues arise, you will help diagnose whether the issue is the source data, a pipeline problem, a modeling assumption, or a mismatch between the data and the real-world business process it represents. When a model moves toward production, you will own the quality validation to make sure it works in the real world.

This is a role built for potential. We care far more about how you think — how you question things that don’t make sense, break a hard problem into testable pieces, and use data to prove or disprove a hypothesis — than about the length of your résumé. If you are smart, curious, driven, and coachable, and you like to build things that work, you will thrive here.

This role is based in Bellevue, WA or Dallas, TX

As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits to support your health, financial future, and daily life. The package includes medical, dental, and vision coverage, a 401(k) with company match, and commuter benefits. Total compensation may include a combination of a competitive base salary and equity. Your initial placement within our salary range will be based on your experience, qualifications.

The base pay range for this role is $180,000 – $250,000 per year.