Job Title

About the job Digital Technology Data Scientist Lead Digital Technology Data Scientist Lead (2 Openings)Location: Oshkosh, WI (Preferred) | Frederick, MD (Considered) Work Arrangement: Hybrid Compensation: $139,800 base + up to 10% bonus Relocation: Offered Travel: Minimal (1-2 times per year) Eligibility: U.S. Citizen or Green Card Holder Role Summary We are seeking a Digital Technology Data Scientist Lead to drive advanced analytics and machine learning initiatives that directly impact business performance. This is a hands-on individual contributor role for a senior data scientist who excels at translating business problems into data-driven solutions and communicating insights in a compelling, actionable way. This position operates within a Data Science Center of Excellence, requiring strong collaboration across business functions and the ability to influence stakeholders through data storytelling and technical expertise. Work Location Expectations Oshkosh, WI (Strongly Preferred): 3 days onsite / 2 days remote Remote Consideration: For highly qualified candidates within driving distance of Oshkosh - 25% onsite / 75% remote Frederick, MD: Hybrid (3 days onsite / 2 days remote) Key Responsibilities Analyze and interpret structured and unstructured data using statistical methods, machine learning, and advanced programming Partner with business stakeholders to gather requirements, design solutions, and deliver measurable business impact Build and deploy complex predictive models and ML algorithms into operational systems Translate technical findings into clear, compelling stories for both technical and non-technical audiences Lead data science workstreams including: Model development and validation Data quality improvements Incident troubleshooting and root cause resolution Collaborate cross-functionally with data engineers, architects, analysts, and business leaders Mentor team members and promote data science best practices Contribute to the enterprise data science strategy and roadmap Support supply chain-related analytics initiatives Required Technical Skills Candidates must clearly demonstrate hands-on experience with: Azure Databricks Python Spark Power BI Microsoft Office (advanced Excel, pivot tables) Statistical modeling and machine learning Data processing across large, complex datasets Professional Experience Requirements Strong track record of: Working directly with business stakeholders Translating business needs into analytical solutions Communicating impact in business terms Exceptional communication and presentation skills Ability to tell a story with data Comfortable operating in a highly collaborative, cross-functional environment Experience in supply chain analytics is important Industry Background Preferred Manufacturing Automotive Industrial Engineering Other industries such as healthcare, retail, or biotech may be considered. Heavy financial services backgrounds are not preferred.Minimum QualificationsBachelors degree + 5 years of relevant experience ORMasters degree + 3 years of relevant experience Standout / Nice-to-Have Qualifications Masters or PhD in Data Science, Statistics, Computer Science, or related field Experience with Microsoft Power Platform Familiarity with Large Language Models (LLMs) Knowledge of Retrieval-Augmented Generation (RAG) architectures Experience developing front-end data apps (Flask, Gradio, etc.) What This Role Is NOT Not a people-management or director-track role Not a heads-down, isolated technical position This is a business-facing, high-impact individual contributor role Package Details Direct Hire role Compensation Range: $139,800.00/year, up to 10% bonus