Health Care Service Corporation is seeking a Lead Machine Learning Engineer to apply data science and machine learning to make healthcare more cost-effective and improve outcomes for members. The role involves ensuring data quality, creating new data pipelines, optimizing and managing existing data pipelines, ingesting and curating data sources for analytical purposes, and transforming structured and unstructured data into formats suitable for machine learning and advanced analytics.
Responsibilities
• Ensure data quality and create new data pipelines.
• Optimize and manage existing data pipelines.
• Ingest and curate data sources for analytical purposes.
• Transform structured and unstructured data into formats suitable for machine learning and advanced analytics.
• Work on deployment and ensure products are production-ready and run smoothly.
• Implement data products where traditional application development support is needed.
Skills
• Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Must demonstrate proficiency in at least five and mastery in one of the following six areas: 1) data analysis and relational-style query languages; 2) data pipelining and ETL; 3) working with semistructured and unstructured data; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
• Proficiency in iterative development practices.
• A track record of independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.
• Master degree in a computational field, or Bachelor degree with significant healthcare experience
• Experience with SQL and Python
• Experience with Git version control
• Shell Scripting
• Development of clean, readable, and easy to support Python code.
• Cloud computing frameworks such as AWS, Azure and GCP.
• Customer-focused.
• Strong interpersonal, verbal and written communication skills
