Principal Engineer Data Analytics III

Job Title: Principal Engineer - Data Analytics III

Location: Oshkosh WI

Duration: 12 Months

Job Type: Direct Hire

Maximum Submissions per Supplier: 6

Rate: Direct Hire

Note: Start Date: ASAP. Compensation Range: $139800.00/year up to 10% bonus. Location: Oshkosh WI strongly preferred (3 days in office up to 2 days remote). For very strong candidates the team will consider candidates who are within driving distance of Oshkosh and who can work 25% onsite 75% MD will also be considered for strong candidates but only onsite option (3 days in office up to 2 days remote). Relocation offered. Travel: minimum travel (1-2 times per year to other sites). US Citizen or Green Card Holder. Interview process: Screening interview with internal recruiter after an assessment an interview with the hiring manager and director then a panel interview (onsite possible if local to Oshkosh). Top 3 Keywords: 1- Machine Learning & Predictive Modeling 2- Python/Spark (Azure Databricks) 3- Supply Chain Analytics

Top Required Skills:

• Data Science & Advanced Analytics (Python Spark ML)
• Business Requirements Gathering & Stakeholder Communication
• Data Visualization & Storytelling (Power BI Excel)

Must-Have Skills:

• Strong business-facing experience and stakeholder collaboration
• Ability to gather business requirements and translate them into data-driven solutions
• Exceptional verbal and written communication skills
• Ability to explain business impact of solutions and insights
• Data storytelling skills using visual and written formats
• Supply chain analytics experience
• Proficiency with Python Spark Power BI and Microsoft Excel
• Experience building predictive models and machine learning solutions
• Comfort working cross-functionally in a Center of Excellence environment

Nice-to-Have Skills:

• Experience in manufacturing automotive industrial engineering healthcare retail or biotech industries
• Experience with Azure Databricks
• Familiarity with Power Platform tools
• Knowledge of LLMs (open-source or proprietary)
• Experience with RAG architecture
• Front-end app development experience (Flask Gradio)
• Experience mentoring or coaching team members

Key Responsibilities & Duties:

• Analyze structured and unstructured datasets to identify trends patterns and business insights
• Build validate and deploy advanced predictive and machine learning models
• Translate complex data findings into clear insights for technical and non-technical audiences
• Collaborate with cross-functional teams to define requirements and deliver scalable data solutions
• Support data science strategy incident resolution and continuous improvement initiatives
• Coach and mentor team members on data science and analytics best practices

Requirements:

• Bachelors degree with 5 years of data science or related experience OR
• Masters degree with 3 years of experience
• Strong experience in business analytics and supply chain functions
• Proven ability to communicate insights and business impact clearly
• Individual contributor mindset (non-managerial role)
• Experience outside of heavy financial industry environments