Auger

Data Scientist - Supply Chain

Posted 5 Days Ago

2 Locations

In-Office

180K-250K Annually

Mid level

Software

The Role

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

Summary Generated by Built In

Build at Auger

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.

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. 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

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

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.

Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Additionally, our privacy policy is available at https://auger.com/privacy-notice/.

Skills Required

Master's degree in Data Science, Statistics, Applied Mathematics, or related quantitative field
Undergraduate degree in Engineering, Mathematics, Economics, or Computer Science
Strong proficiency in Python
Strong proficiency in SQL
Experience with machine learning and optimization models and strong statistical intuition
Comfortable working with large, messy, real-world datasets
Familiarity with data pipelines and infrastructure to converse productively with data engineers
Ability to translate business logic into mathematical constraints and engineering specifications
Sharp analytical instincts, builder's mindset, and comfort with ambiguity
Supply chain and logistics experience
Hands-on experience with complex, interrelated physical systems

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The Company

HQ: Bellevue, WA

35 Employees

What We Do

About Auger Auger is a pioneering venture to build the world's first true end-to-end supply chain operating system. Founded and led by Dave Clark, former CEO of the Amazon Consumer Business and backed by an initial $100M from Oak HC/FT, Auger is building a future where global supply chains operate with the simplicity of today’s most intuitive consumer technologies. Revolutionizing global supply chains with an AI-powered OS unifying data for seamless, real-time insights, and powerful automation. Our Solution Auger is creating a new solution for companies seeking better options. Auger’s core strength lies in its deep AI-powered automation, paired with a consumer-grade user experience. This combination allows operators to handle complex tasks through simple, familiar tools. Need real-time inventory insights for next week’s shipment? Just ask. Actionable data appears instantly, enabling swift decisions—no complex queries or training required. Why We’re Different Traditional supply chain management is fragmented, relying on incompatible systems and inefficient workarounds. Many companies are stuck with “Franken-software”—patched-together solutions that fail to communicate effectively. Auger is different. We integrate deeply with existing systems, use AI to automate routine processes, and deliver a cohesive user experience that feels intuitive and natural, letting your team focus on what matters: driving growth, innovation, and sustainability. A Human-Centered Approach Broken supply chains don’t just impact businesses—they affect people. Delays mean products don’t reach shelves, miscommunications lead to overtime and burnout, and inefficiencies drive up costs and contribute to a growing carbon footprint. We believe supply chain problems are human problems, and we’re here to solve them. At Auger, we’re on a mission to make global supply chains more efficient, more sustainable, and ultimately, better for everyone.