Data Scientist – Predictive Maintenance

Role: Data Scientist – Predictive Maintenance Type: Contract Duration: 3–6 months Location: Milwaukee area (3 days onsite required) Important Note: We work directly with candidates only. No third parties or vendors. Role Overview We are looking for a Data Scientist with hands-on experience in predictive maintenance and asset reliability to support a focused initiative centered on building anomaly detection models. This is not a generalist role. We’re looking for someone who has already worked in environments where equipment health, failure prediction, and operational data matter. Key Responsibilities • Design and develop predictive maintenance and anomaly detection models • Analyze asset and operational data to identify failure patterns and reliability risks • Collaborate with technical and business stakeholders to translate requirements into models • Support model testing, tuning, and validation in a real-world production environment Required Qualifications • Proven experience in predictive maintenance, asset reliability, or anomaly detection modeling • Strong data science background with practical, applied use cases • Proficiency working in an Azure environment • Experience with Python; R and GitHub strongly preferred