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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 ...

Tiger Analytics

WI · On-site

Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. * Utilize advanced statistical techniques and data science ...

CONAGRA

Senior Data Scientist, Supply Chain

Omaha, NE · On-site

$82K - $120K/yr

Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver ...

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

As of Aug 17, 2026, the average yearly pay for 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 a data scientist supply chain?

A Data Scientist in Supply Chain leverages data analytics, machine learning, and statistical modeling to optimize processes such as demand forecasting, inventory management, and logistics. They work with large datasets to uncover insights that improve efficiency, reduce costs, and enhance decision-making. Their role often involves collaborating with cross-functional teams, developing predictive models, and automating data-driven solutions to enhance supply chain performance.

What are the typical daily responsibilities of a data scientist supply chain?

A Data Scientist in supply chain typically spends their days analyzing large sets of logistics, inventory, and sales data to identify trends, forecast demand, and optimize various processes like procurement, warehousing, and distribution. They collaborate with operations managers, IT specialists, and business leaders to translate data-driven insights into actionable strategies and performance improvements. Using advanced analytics tools and visualization platforms, they regularly build predictive models and share their findings with both technical and non-technical stakeholders. This role often involves a mix of solo analytical work and teamwork, offering opportunities to impact key business decisions and drive measurable operational efficiencies.

What are the key skills and qualifications needed to thrive in a data scientist supply chain position?

To thrive as a Data Scientist Supply Chain, you need strong analytical and statistical skills, proficiency in machine learning, data modeling, and a relevant degree such as in data science, engineering, mathematics, or supply chain management. Familiarity with programming languages like Python or R, experience with SQL, and working knowledge of supply chain management systems (such as SAP or Oracle) and certifications like APICS or Six Sigma are often valuable. Excellent problem-solving abilities, effective communication, and the capacity to collaborate with cross-functional teams are crucial soft skills for this role. These abilities enable the data scientist to deliver actionable insights, optimize logistics operations, and drive efficiency within complex supply chain environments.

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Data Scientist Supply Chain jobs near you
Infographic showing various Data Scientist Supply Chain job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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 3 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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