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Overnight 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 ...

Home Depot

Data Scientist - Supply Chain

Atlanta, GA · On-site +1

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

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

As of Sep 6, 2026, the average yearly pay for overnight 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 overnight data scientist supply chain do?

An Overnight Data Scientist in Supply Chain analyzes large volumes of supply chain data during overnight hours to identify trends, optimize logistics, and improve efficiency. They work with data from inventory, shipments, demand forecasts, and more to support real-time decision-making. Their role is crucial for companies that operate 24/7, as they help ensure that supply chain operations run smoothly even outside of regular business hours. Typical tasks include building predictive models, generating reports, and collaborating with night-shift logistics teams.

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

To thrive as an Overnight Data Scientist in Supply Chain, you need strong analytical skills, a background in statistics or data science, and expertise in supply chain concepts, typically with a relevant degree. Familiarity with programming languages like Python or R, experience using data visualization tools (such as Tableau or Power BI), and knowledge of supply chain management software are commonly required. Excellent problem-solving, communication, and adaptability to work independently during overnight shifts set top performers apart. These skills ensure effective data-driven decision-making, continuous supply chain optimization, and reliable operations outside regular business hours.

What unique challenges can an overnight data scientist supply chain expect, and how should one prepare for them?

As an Overnight Data Scientist in the supply chain sector, you'll often face challenges like working with real-time data streams and quickly addressing anomalies that impact logistics or inventory overnight. This role typically involves collaborating remotely with cross-functional teams in different time zones, requiring strong communication skills and adaptability. To prepare, familiarize yourself with automated monitoring tools and develop effective handoff processes for seamless transitions between shifts. Proactive problem-solving and the ability to work independently are key to thriving in this environment.

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

AspectOvernight Data Scientist Supply ChainOvernight Data Analyst Supply Chain
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, data-driven projects, often in tech or logistics companiesOperational teams, reporting, and basic analysis in supply chain departments
Employer & Industry UsageTech firms, logistics companies, retail supply chainsManufacturing, retail, logistics firms, and supply chain departments

While both roles involve data analysis in supply chain contexts, the Overnight Data Scientist Supply Chain focuses on developing predictive models and advanced analytics, requiring more technical expertise. The Overnight Data Analyst Supply Chain primarily handles reporting and basic data analysis tasks. Understanding these differences helps in choosing the right career path or job fit within supply chain analytics.

What cities are hiring for Overnight Data Scientist Supply Chain jobs?

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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 states have the most Overnight Data Scientist Supply Chain jobs?

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Overnight Data Scientist Supply Chain jobs near you

Data Scientist - Supply Chain

Auger

Bellevue, WA • On-site

Full-time

Re-posted 22 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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