Data Scientist

Role Title: Data Scientist Employment Type: Contract Duration: 3–6 month contract Preferred Location: Local to Milwaukee with 3 days onsite Role Overview The Data Scientist will play a key role in supporting a predictive maintenance initiative by developing and deploying advanced analytical models focused on asset reliability and anomaly detection. This role is hands-on and highly specialized, requiring direct experience in predictive maintenance use cases rather than a broad or generalized data science background. This position is well-suited for candidates with strong experience in industrial analytics, asset performance management, or building anomaly detection who can apply data science techniques to real-world operational challenges. Key Responsibilities • Design, develop, and implement predictive maintenance and anomaly detection models • Analyze asset and operational data to identify failure patterns and reliability risks • Build and validate models to support asset reliability and proactive maintenance strategies • Collaborate with engineering, operations, and technical teams to understand asset behavior and data sources • Deploy and manage data science solutions within an Azure-based environment • Write clean, maintainable code and collaborate through GitHub • Document modeling approaches, assumptions, and results for technical and business audiences • Support continuous improvement of predictive models based on performance and feedback Requirements Required Qualifications • Strong data scientist experience with a specific background in predictive maintenance, asset reliability, or building anomaly detection models • Proven experience developing and deploying machine learning or statistical models for operational use cases • Proficiency working in an Azure environment • Strong analytical, problem-solving, and communication skills Preferred Qualifications: • Experience with Python and/or R • Experience using GitHub for version control and collaboration • Background working with industrial, facilities, or asset-based data environments