Senior Data Analytics Engineer

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 Partner with business stakeholders to define problems, gather requirements, and deliver data-driven solutions Analyze large, complex datasets (structured and unstructured) to uncover trends and insights Build, validate, and deploy predictive models and machine learning solutions Translate findings into clear, compelling narratives for both technical and non-technical audiences Develop dashboards, visualizations, and reporting tools to support decision‑making Collaborate cross‑functionally with data engineers, analysts, architects, and business teams Contribute to data quality improvements, root cause analysis, and issue resolution Lead or support projects across data science, analytics, and business intelligence initiatives Mentor team members and promote best practices across analytics and data science Support the evolution of a data‑driven center of excellence culture Core Skills & Experience Strong experience working directly with business partners (not just technical teams) Ability to own the full lifecycle: requirements, solution, communication, business impact Proven ability to tell a story with data and influence decision‑making Excellent communication and interpersonal skills Experience in supply chain, operations, or related business functions Comfortable working in collaborative, highly visible environments Technical Skills Programming: Python, R (additional languages such as C are a plus) Data & ML: Machine learning, statistical modelling, data analysis Tools: Azure Databricks, Spark, Power BI, Excel (advanced functions/pivot tables) Experience working with large‑scale datasets and distributed computing environments Preferred Background 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 Bachelor's degree + 5+ years of relevant experience OR Master's degree + 3+ years of relevant experience What Success Looks Like Demonstrates clear business impact from data science work Builds solutions that are adopted and used by stakeholders Communicates insights in a way that drives action 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. #J-18808-Ljbffr