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 & BenefitsAs 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.
