Machine Learning Engineer

Hi, Job Title: Machine Learning Engineer Location: Remote Job Description We are building a small, high-impact team to support advanced analytics and machine learning initiatives for a leading healthcare technology management company. This team will focus on predictive modeling, cost optimization, and ROI analysis for clinical asset management and capital planning. Key Responsibilities • Develop and deploy statistical and machine learning models for predictive maintenance, resource optimization, and operational efficiency. • Perform econometric and financial analysis to support capital planning and cost-benefit decisions. • Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device telemetry). • Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights into actionable strategies. • Ensure compliance with HIPAA and healthcare data governance standards. Required Qualifications • Master's or Ph.D. in Statistics, Economics, Data Science, or related field. • 3+ years of experience in ML model development and deployment. • Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD). • Proficiency in Python, SQL, and ML frameworks (Scikit-Learn, XGBoost, TensorFlow). • Excellent communication skills for presenting insights to technical and business stakeholders. Preferred Skills • Experience with healthcare data (EHR, claims, RTLS). • Familiarity with capital planning and ROI modeling. • Knowledge of cloud platforms (AWS, Azure) and containerized deployments.