Base: $115,000 - $125,000; bonus/equity: not speci...
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Python programming with numpy pandas scikit-learn
Unsupervised machine learning model development
Oracle sql and sqlalchemy database integration
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Express Scripts Canada is seeking a Machine Learning Engineer for a hybrid role in Mississauga, ON, focused on designing and building data pipelines and machine learning services to enhance healthcare claims analysis. The ideal candidate should possess strong Python and data engineering skills, along with experience in unsupervised learning and API development.
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Job Summary
The role involves designing and operating data pipelines and ML services to detect unusual patterns in healthcare claims and pharmacies.
Candidates will collaborate with business teams to interpret clusters and risk buckets while ensuring high performance and code quality.
Successful candidates must obtain an Enhanced Reliability Clearance from the Federal Government as a condition of employment.
Matching Summary
Match Score: 75
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Express Scripts Canada is seeking a Machine Learning Engineer for a hybrid role in Mississauga, ON, focused on designing and building data pipelines and machine learning services to enhance healthcare claims analysis. The ideal candidate should possess strong Python and data engineering skills, along with experience in unsupervised learning and API development.
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Salary
Base: $115,000 - $125,000; Bonus/Equity: Not specified; Benefits: Competitive compensation, benefits, pension plan, flexible work options
Skills & Requirements
Must-have
Python programming with NumPy pandas scikit-learn
Unsupervised machine learning model development
Oracle SQL and SQLAlchemy database integration
FastAPI REST API service implementation
ETL pipeline orchestration and feature engineering
CI/CD deployment on OpenShift or Jenkins
Nice-to-have
Healthcare domain experience in fraud detection
Experience with on-prem security clearance requirements
Knowledge of Docker containerization patterns
Ability to interpret AI data insights for business
Familiarity with sparse matrix processing techniques
Key Requirements
5+ years application development experience
3-5 years professional experience in data science or ML engineering
Bachelor's degree in Computer Science or related field
Must obtain Enhanced Reliability Clearance from Federal Government
Work Rights
Must obtain Enhanced Reliability Clearance from Federal Government