Principal Engineer; Data Analytics

Pay Rate: Up to $/year, up to 10% bonus

Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered.

Work Mode: Hybrid (3 days in office, up to 2 days remote)

Relocation: Offered to Oshkosh, WI, but not to New Hudson, MI

Travel: Minimum travel (1-2 times per year to other sites)

• Analyze and interpret datasets using statistical techniques, machine learning, and programming skills to extract insights and build models that solve business problems.
• Utilize data science tools such as Azure Databricks, Power BI, Microsoft Office, Spark, Python, R, and
  
  C.
• Process structured and unstructured datasets to analyze large amounts of information to identify trends and patterns.
• Prepare and deliver analysis results in visual and written forms to communicate data insights to both technical and non-technical audiences.
• Collaborate with cross-functional teams to understand data needs for complex business requirements.
• Build complex predictive models and machine-learning algorithms and integrate them into existing systems or create new products.
• Direct data science assignments, projects, visualization tasks, data quality improvements, and troubleshoot data incidents.
• Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
• Coach and mentor team members on new technologies and best practices across data science and business intelligence.
• Support the advancement of the strategic roadmap for data science.

• Bachelor's degree with five (5) or more years of experience in the field or a related area.

• Master's or doctorate degree.
• Expertise in Power Platforms.
• Familiarity with LLM (open source or closed).
• Experience in front-end web app development (Flaskapp, Gradio, etc.).
• Familiarity with RAG architecture.
• Company is committed to working with and offering reasonable accommodations to job applicants with disabilities.
• Merit-based Equal Opportunity Employer.
• Job opportunities open to all qualified individuals without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristics.