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Full Time Data Scientist Supply Chain Jobs (NOW HIRING)

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

They are seeking a Data Scientist to transform raw customer data into structured insights, working closely with supply chain experts to develop AI and optimization systems for complex supply chain ...

Direct Supply, Inc.

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Bachelor's degree in Business, Mathematics, Information Technology, Data Science, Engineering, or a related field. * Five or more years of experience in supply chain analytics, business analytics ...

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Full Time Data Scientist Supply Chain information

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$46K

$165K

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How much do full time data scientist supply chain jobs pay per year?

As of Aug 11, 2026, the average yearly pay for full time data scientist supply chain in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Scientist Supply Chain vs Data Analyst Supply Chain?

AspectFull Time Data Scientist Supply ChainData Analyst Supply Chain
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; programming skills (Python, R)Bachelor's in Analytics, Statistics, or related; basic SQL, Excel skills
Work EnvironmentAdvanced analytics, predictive modeling, machine learning in supply chain contextData reporting, visualization, descriptive analysis in supply chain
Employer & Industry UsageTech companies, logistics firms, manufacturingRetail, logistics, manufacturing companies

Full Time Data Scientist Supply Chain roles focus on developing predictive models and advanced analytics to optimize supply chain operations, requiring programming and statistical expertise. Data Analyst Supply Chain positions primarily involve data reporting and visualization to support decision-making, with less emphasis on complex modeling. Both roles are vital in supply chain management but differ in technical depth and responsibilities.

More about Full Time Data Scientist Supply Chain jobs
What cities are hiring for Full Time Data Scientist Supply Chain jobs? Cities with the most Full Time Data Scientist Supply Chain job openings:
What are the most commonly searched types of Data Scientist Supply Chain jobs? The most popular types of Data Scientist Supply Chain jobs are:
What job categories do people searching Full Time Data Scientist Supply Chain jobs look for? The top searched job categories for Full Time Data Scientist Supply Chain jobs are:
Full Time Data Scientist Supply Chain jobs near you
Infographic showing various Full Time Data Scientist Supply Chain job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Supply Chain

Auger

Bellevue, WA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Auger is an autonomous operating system for supply chains that integrates various enterprise systems into a single data layer. They are seeking a Data Scientist to transform raw customer data into structured insights, working closely with supply chain experts to develop AI and optimization systems for complex supply chain challenges.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Supply chain and logistics experience is ideal.
• Hands-on experience with any complex, interrelated physical system is highly beneficial.
Company:
Auger is a logistics software startup that integrates with inventory management systems to provide insights for supply chain businesses. Founded in 2024, the company is headquartered in Bellevue, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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