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 modeling, 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.