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Data Scientist Supply Chain Analytics Jobs (NOW HIRING)

Home Depot

Sr. Data Scientist - Supply Chain

Atlanta, GA · On-site +1

This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage ...

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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Data Scientist Supply Chain Analytics information

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$37.5K

$122.7K

$196.5K

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

As of Sep 12, 2026, the average yearly pay for data scientist supply chain analytics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist supply chain analytics?

Data Scientist Supply Chain Analytics professionals use data analysis, statistical modeling, and machine learning to optimize and improve supply chain processes. They collect and analyze large datasets related to inventory, logistics, demand forecasting, and supplier performance. Their insights help organizations make data-driven decisions to reduce costs, increase efficiency, and enhance customer satisfaction in the supply chain. These professionals often work closely with operations, logistics, and IT teams to implement solutions that maximize business value.

How does a data scientist supply chain analytics typically collaborate with other departments within an organization?

Data Scientists in Supply Chain Analytics often work closely with cross-functional teams, including procurement, operations, logistics, and IT. They collaborate to identify data sources, align on business objectives, and translate analytical insights into actionable recommendations. Effective communication is essential, as they must explain complex models and findings to both technical and non-technical stakeholders. This collaborative environment helps ensure that data-driven solutions are effectively implemented and deliver tangible improvements to the supply chain.

What are the key skills and qualifications needed to thrive as a data scientist supply chain analytics, and why are they important?

To thrive as a Data Scientist in Supply Chain Analytics, you need a strong background in statistics, data analysis, supply chain processes, and a relevant degree like computer science or engineering. Proficiency with tools such as Python, R, SQL, machine learning frameworks, and supply chain management systems (e.g., SAP, Oracle) is typically required. Exceptional problem-solving, communication, and collaboration skills help you translate data insights into actionable business strategies. These skills are critical for optimizing supply chain efficiency, reducing costs, and driving data-informed decision-making in complex environments.

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

AspectData Scientist Supply Chain AnalyticsData Analyst Supply Chain
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Analytics, Statistics, or related fields; focus on data interpretation
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingOperational reporting, data visualization, descriptive analysis
Employer & Industry UsageManufacturing, logistics, retail companies focusing on predictive insightsSupply chain departments across various industries for reporting and basic analysis

Data Scientist Supply Chain Analytics professionals focus on predictive modeling and advanced analytics to optimize supply chain processes, while Data Analysts primarily handle descriptive data analysis and reporting. Both roles are essential but differ in complexity and scope.

What are popular job titles related to Data Scientist Supply Chain Analytics jobs?

For Data Scientist Supply Chain Analytics jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist Supply Chain Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Global Supply Chain Analytics & Insights Intern

Fond Du Lac, WI • On-site

Brunswick Corporation
Arts, Entertainment, and Recreation • 201 - 500 employees
Learn more about Brunswick Corporationexternal

$18 - $27/hr

Full-time

Posted 16 days ago

Job description

Are you ready for what's next?
Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests™," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.
Mercury Marine - Fond du Lac, WI.- Global Supply Chain Analytics & Insights Intern
Location: Fond du Lac
Workplace Category: Hybrid
Travel Required: None
Direct Reports: None
Pay Range: $18.00 - $27.00
Relocation: Yes
Visa Sponsorship: Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.
Position Overview:
As a Global Supply Chain Analytics & Insights Intern, you will gain hands-on experience supporting the development and application of analytics, automation, machine learning, and AI-enabled solutions across Mercury's Global Supply Chain organization. This role will help identify opportunities for data-driven improvement, predictive insights, process optimization, and business value creation.
You will partner with the Global Supply Chain Analytics and Insights team to translate business needs into practical analytics solutions that are measurable, ethical, scalable, and operationally relevant. Candidates with coursework, projects, internships, or student organization experience involving supply chain, business analytics, data science, information systems, process improvement, or emerging technologies are encouraged to apply.
At Brunswick, we have passion for our work and a distinct ability to deliver.
Essential Functions:
  • Partner with Global Supply Chain business teams to identify opportunities for data-driven improvement, automation, and advanced analytics.
  • Assist in translating business questions into clearly defined use cases, hypotheses, data requirements, and analytical approaches.
  • Support the development of dashboards, reports, data models, and analytics tools that help improve supply chain visibility and decision making.
  • Contribute to data cleansing, validation, visualization, and analysis activities using Microsoft Excel, Power BI, Python, SQL, or similar tools.
  • Help evaluate analytics and AI outputs against business outcomes to ensure solutions are practical, usable, and aligned to operational needs.

Intern project opportunities:
  • Research analytics best practices, responsible AI concepts, automation opportunities, and emerging technologies that can support Global Supply Chain transformation.
  • Support an AI, machine learning, or predictive analytics proof of concept tied to a practical business use case.
  • Map and analyze current-state processes to identify inefficiencies, automation opportunities, and future-state improvements for technical and non-technical audiences.
  • Develop recommendations and present project findings to Global Supply Chain Analytics & Insights leadership and business stakeholders.

Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.
Required Qualifications:
  • Currently pursuing a degree in Supply Chain Management, Business Analytics, Data Analytics, Data Science, Information Systems, Computer Science, or a related field.
  • Strong analytical, problem-solving, organizational, and communication skills with the ability to explain findings clearly.
  • Proficiency in Microsoft Excel and interest in learning tools such as Power BI, SQL, Python, Microsoft Power Platform, or other analytics platforms.
  • Ability to work independently while collaborating effectively in a cross-functional, team-oriented environment.

Preferred Qualifications:
  • Coursework or project experience involving analytics, statistics, data visualization, AI, machine learning, or process improvement.
  • Experience with Power BI, SQL, Python, Microsoft Power Platform, or other data visualization/analytics tools.
  • Exposure to data cleansing, data mapping, workflow documentation, user testing, or business requirements gathering.
  • Interest in responsible AI, digital transformation, automation, supply chain optimization, and business partnership.

Working Conditions:
  • Learning Opportunities: Our Student Program is designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
  • Project Work: The work environment is supportive, collaborative, and conducive to learning. Student co-ops or interns typically work on specific projects or tasks that contribute to the organization's goals. This may range from supporting larger projects to handling smaller, individual assignments.
  • Hours: Co-ops and Interns are expected to work a full 40-hour work week
  • Feedback and Performance Reviews: As a co-op or intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement.

The pay range for this position is $18.00 - $27.00 per hour. The actual hourly rate offered will vary depending on multiple factors including year in school/credits earned, degree, job-related knowledge/skills, relevant experience, business needs, and geographic location.
At Brunswick, it is not typical for an individual to be hired at or near the top end of the salary range for their role. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.
Why Brunswick:
Whatever tomorrow brings, we'll be at the leading edge. As the clear leader in the marine industry, we're committed to our values and supporting our exceptional people. We offer and encourage growth opportunities within and across our many brands. In addition, we're proud of being recognized for making a splash with numerous awards!
Mercury Marine:
Headquartered in Fond du Lac, Wisconsin, Mercury Marine® is the world's leading manufacturer of recreational marine propulsion engines. A division of Brunswick Corporation (NYSE: BC), Mercury provides engines, boats, services and parts for recreational, commercial and government marine applications. Mercury empowers boaters with products that are easy to use, extremely reliable and backed by the most dedicated customer support in the world. The company's industry-leading brand portfolio includes Mercury outboard engines, Mercury MerCruiser® sterndrive and inboard packages, Mercury propellers, Mercury inflatable boats, Mercury SmartCraft® electronics, Land 'N' Sea marine parts distribution and Mercury and Quicksilver® parts and oils. More information is available at MercuryMarine.com.
Next is Now!
We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.
Brunswick and Workday Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com.
#Brunswick Corporation - Mercury Marine
For more information about EEO laws, - click here
Brunswick Corporation participates in E-Verify as part of our commitment to a lawful and transparent hiring process. For additional information click here: https://www.brunswick.com/e-verify.

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