Senior Data Scientist (Individual Contributor)
Direct Hire | 2 Openings

Location: Oshkosh, WI (preferred) or New Hudson, MI
Schedule: Hybrid (3 days onsite / 2 remote)
Compensation: $139,800 base + up to 10% bonus
Relocation: Offered for Oshkosh, WI only
Travel: Minimal (1–2 trips/year)
Eligibility: U.S. Citizen or Green Card Holder

Overview

We are seeking a Senior Data Scientist to partner directly with business leaders and translate complex data into actionable insights and scalable solutions. This is a highly visible, hands-on role focused on solving real business problems—not a management track position.

The ideal candidate combines strong technical expertise with business acumen, communication skills, and the ability to influence decisions through data storytelling.

What You'll Do

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  Partner with business stakeholders to define problems, gather requirements, and deliver data-driven solutions
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  Analyze large, complex datasets (structured and unstructured) to uncover trends and insights
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  Build, validate, and deploy predictive models and machine learning solutions
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  Translate findings into clear, compelling narratives for both technical and non-technical audiences
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  Develop dashboards, visualizations, and reporting tools to support decision-making
• 
  Collaborate cross-functionally with data engineers, analysts, architects, and business teams
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  Contribute to data quality improvements, root cause analysis, and issue resolution
• 
  Lead or support projects across data science, analytics, and business intelligence initiatives
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  Mentor team members and promote best practices across analytics and data science
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  Support the evolution of a data-driven center of excellence culture

Core Skills & Experience

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  Strong experience working directly with business partners (not just technical teams)
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  Ability to own the full lifecycle: requirements solution communication business impact
• 
  Proven ability to tell a story with data and influence decision-making
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  Excellent communication and interpersonal skills
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  Experience in supply chain, operations, or related business functions
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  Comfortable working in collaborative, highly visible environments

Technical Skills

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  Programming: Python, R (additional languages such as C are a plus)
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  Data & ML: Machine learning, statistical modeling, data analysis
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  Tools: Azure Databricks, Spark, Power BI, Excel (advanced functions/pivot tables)
• 
  Experience working with large-scale datasets and distributed computing environments

Preferred Background

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  Industry experience in manufacturing, automotive, industrial, engineering, or similar environments
  (Healthcare, retail, biotech also considered; heavy financial services backgrounds less aligned)
• 
  Experience with:
  • 
    Power Platform tools
  • 
    Large Language Models (LLMs)
  • 
    Retrieval-Augmented Generation (RAG)
  • 
    Front-end data apps (Flask, Gradio, etc.)

Education & Experience

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  Bachelor's degree + 5+ years of relevant experience
  OR
• 
  Master's degree + 3+ years of relevant experience

What Success Looks Like

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  Demonstrates clear business impact from data science work
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  Builds solutions that are adopted and used by stakeholders
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  Communicates insights in a way that drives action
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  Operates as a trusted partner to the business, not just a technical resource

Position Summary

This is an opportunity to join a collaborative, forward-thinking team where data science directly impacts business performance. The role is ideal for someone who enjoys working across functions, solving complex problems, and delivering measurable results through data.