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Senior Data Scientist Supply Chain Jobs (NOW HIRING)

Tiger Analytics

WI · On-site

We are looking for a Senior Data Scientist with a good blend of data analytics background ... Work on the latest applications of data science to solve business problems in the Supply chain and ...

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 ...

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 ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

Work with the squad as well as our global supply chain and operations partners to assess business ... As a Senior Data Scientist, you will collaborate closely with various global teams and stakeholders ...

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$41.5K

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

As of Aug 23, 2026, the average yearly pay for senior data scientist supply chain in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Scientist Supply Chain vs Data Scientist Supply Chain?

AspectSenior Data Scientist Supply ChainData Scientist Supply Chain
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; 3+ years experienceBachelor's/Master's in Data Science, Analytics, or related field; 1-3 years experience
Work EnvironmentLead projects, mentor junior staff, strategic planningAnalyze data, develop models, support decision-making
Employer & Industry UsageSupply chain companies, logistics firms, manufacturingSupply chain roles across similar industries

The main difference between a Senior Data Scientist Supply Chain and a Data Scientist Supply Chain lies in experience, responsibilities, and leadership. Senior roles involve project leadership and mentorship, while entry-level data scientists focus on analysis and model development. Both roles are vital in optimizing supply chain operations across industries.

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

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Senior Data Scientist Supply Chain jobs near you

Senior Data Scientist - SCM

Stellar IT Group

Deerfield Beach, FL • On-site

Contractor

Re-posted 14 days ago

Job description

Overview:
Title: Senior Data Scientist - Supply Chain Management
Location: Deerfield, FL (Onsite 3 days per week)
Type: 12-Month Contract
Overview Seeking an experienced Senior Data Scientist with deep expertise in supply chain management and proven success in developing and deploying machine learning models into production environments. This role will directly impact demand forecasting, optimization, and logistics planning within the automotive industry.
Key Responsibilities
  • Design, implement, and optimize machine learning models using the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics).
  • Collaborate with architects to deploy ML models into production, ensuring scalability, performance, and seamless integration with existing systems.
  • Apply advanced analytics to solve complex supply chain challenges, including demand forecasting and operational optimization.
  • Communicate insights effectively through data visualization tools such as Power BI.

Required Skills & Experience
  • 5+ years of experience as a Data Scientist, with a strong focus on supply chain management.
  • Proficiency in Python and data manipulation libraries (Pandas, NumPy).
  • Strong SQL skills and experience with Oracle Databases.
  • Hands-on expertise with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).
  • Familiarity with Azure cloud platforms, data warehousing solutions, and Microsoft Fabric.
  • Experience with supply chain optimization tools and methodologies, ideally within the automotive industry.

Notes
    • Recent experience in the past three years deploying AI at scale or driving measurable impact
    • Recent exp with deployment of ML work in production
    • Recent use case (RAG chatbot) with clear business value
    • To be able to articulate framework for ensuring ROI, value capture, or scaling
    • A structured methodology for building capabilities or prioritizing use cases

Apply