Machine Learning Specialist

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.