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Global Supply Chain Analytics & Insights Scientist

Job in Fond du Lac, Fond du Lac County, Wisconsin, 54035, USA
Listing for: Mercury Marine
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Analyst, AI Engineer (Applied/Software), Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 73600 - 106200 USD Yearly USD 73600.00 106200.00 YEAR
Job Description & How to Apply Below

Global Supply Chain Analytics & Insights Scientist

Location: Fond du Lac, WI
Workplace Category: Hybrid
Travel Required: Infrequent
Direct Reports: No
Pay Range: $73,600 – $106,200
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.
Relocation: Yes

The Global Supply Chain Analytics & Insights Scientist supports the development and application of advanced analytics, machine learning, and AI capabilities across Global Supply Chain to help achieve strategic business objectives. This role focuses on identifying opportunities for predictive insights, intelligent process automation, and AI‑enabled business value creation. The analyst will partner closely with business stakeholders, IT, and the Global Supply Chain analytics team to ensure data and AI initiatives are practical, valuable, ethical, and measurable.

The position will help translate business needs into scalable solutions that deliver meaningful operational and commercial impact—not just technical accuracy.

Essential Duties Business Partnership
  • Partner with business leaders across the end‑to‑end global supply chain to identify opportunities for data‑driven improvement.
  • Translate high‑level or ambiguous business needs into clearly defined use cases, hypotheses, and solution requirements for AI‑enabled initiatives.
  • Create the necessary workflows to identify inefficiencies, automation opportunities, and business problems that can be addressed through AI, machine learning, or advanced analytics.
Data Analytics & Process Improvement
  • Support the development of standardized analytics tools and frameworks that can be scaled across the global supply chain organization.
  • Contribute to the design, testing, validation, and deployment of AI and machine learning models, partnering effectively with both technical and non‑technical stakeholders.
  • Evaluate model outputs against business outcomes to ensure solutions deliver measurable value, usability, and operational relevance beyond statistical performance alone.
Transformation & Technology
  • Support adoption of AI capabilities by educating teams on relevant use cases, sharing practical applications, and helping build confidence in deployed tools.
  • Serve as a bridge between technical teams and business stakeholders by communicating AI concepts, risks, opportunities, and outcomes in clear, business‑friendly language.
  • Contribute to initiatives involving advanced analytics, automation, and emerging technologies.
Required Qualifications
  • Bachelor’s degree in Supply Chain (preferred) in Business Analytics, Data Science, Information Systems, Computer Science, or a related field.
  • 3+ Years of experience in a supply chain‑related function such as procurement, logistics, project management, supplier quality, or a related discipline.
  • AI and Machine Learning Literacy:
    Working knowledge of the AI lifecycle, model evaluation metrics, and responsible AI principles, including fairness, transparency, and bias mitigation.
  • Demonstrated ability to explain complex analytical, algorithmic, and AI concepts in clear, business‑friendly language.
  • Python and Microsoft Analytics Tools.
  • Generative AI and Prompt Design.
  • Experience with data visualization tools (Power BI, Tableau, etc.).
  • Ability to work cross‑functionally and influence stakeholders.
  • Experience with process improvement methodologies (Lean, Six Sigma, etc.).
Key Competencies
  • Data‑driven decision making
  • Business partnership
  • Process improvement
  • Analytical problem solving
  • Cross‑functional collaboration
Compensation and Benefits

The hiring range for this position is $73,600 to $106,200 annually. The actual base pay offered will vary based on multiple factors including job‑related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate’s qualifications and the business context. In addition to base pay, this position is eligible for an annual discretionary bonus.

The role is eligible to participate in Brunswick's comprehensive and high‑quality benefits offerings, including medical, dental, vision, paid…

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