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Entry Level 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 ...

AIToolboard

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot Development Full-time About the Role The Asia Group (TAG) is now accepting applications for a ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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

As of Sep 14, 2026, the average yearly pay for entry level 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 does an entry level data scientist supply chain do?

An Entry Level Data Scientist in Supply Chain analyzes data related to inventory, logistics, procurement, and demand forecasting to help companies optimize their supply chain operations. They use statistical methods, machine learning, and data visualization tools to uncover trends, identify inefficiencies, and support decision-making. Their work often involves cleaning and preparing data, building predictive models, and communicating insights to stakeholders to improve processes and reduce costs.

What are the key skills and qualifications needed to thrive as an entry level data scientist supply chain?

To thrive as an Entry Level Data Scientist in Supply Chain, you need a solid foundation in statistics, data analysis, and supply chain fundamentals, typically supported by a degree in data science, statistics, engineering, or a related field. Proficiency in programming languages like Python or R, experience with SQL databases, and familiarity with data visualization tools such as Tableau or Power BI are commonly required. Strong problem-solving abilities, effective communication, and teamwork skills help translate data insights into actionable supply chain improvements. These skills are vital for optimizing operations, identifying cost-saving opportunities, and supporting data-driven decision-making in complex supply chain environments.

What are some typical projects an entry level data scientist supply chain might work on?

As an entry level data scientist in supply chain, you can expect to work on projects like demand forecasting, inventory optimization, and logistics network analysis. Your daily tasks may include cleaning and analyzing large datasets, building predictive models, and generating actionable insights to improve efficiency. You'll often collaborate with supply chain analysts, operations managers, and IT teams to implement your solutions and present findings to stakeholders. This collaborative environment offers valuable exposure to both technical and business aspects of supply chain management.

Can I get an entry level data scientist supply chain job with no experience?

Entry level data scientist supply chain roles typically require some knowledge of data analysis, programming (such as Python or R), and familiarity with supply chain concepts. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve chances of securing such positions.
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Entry Level Data Scientist Supply Chain jobs near you
Infographic showing various Entry Level Data Scientist Supply Chain job openings in the United States as of September 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Supply Chain

Bellevue, WA • On-site

Auger
See more jobs at Augerexternal

Full-time

Re-posted 19 hours 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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