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. Show more Show less