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Job Summary
Our Analytics & AI Solutions team is recruiting a Lead Machine Learning Engineer to join our expanding group. Our team makes use of data science and machine learning to enhance the cost-effectiveness of healthcare and to produce better outcomes for our members. We analyze a range of structured and unstructured data, utilizing state-of-the-art computational techniques to add value.
The Lead Machine Learning Engineer is tasked with ensuring data quality, creating new data pipelines, managing and optimizing existing data pipelines, curating data sources for analytical purposes, and converting structured and unstructured data into formats suitable for advanced analytics and machine learning. As data science products are rolled out, they will also oversee deployment to guarantee that the products are ready for production and function smoothly. They will work closely with IT for the implementation of data products where traditional application development support is required.
Required Job Qualifications:
- Bachelor's degree and 5 years of work experience in computer science, engineering, or related field, OR Master’s degree and 4 years of work experience in similar fields, OR Ph.D. and 2 years of work experience in similar fields.
- A mindset focused on learning and growth.
- Customer-oriented.
- Excellent verbal and written communication skills, and interpersonal skills.
- 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 semi-structured and unstructured data; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
- Proficiency in iterative development practices.
- A record of independently delivering or directing delivery of data engineering solutions for multiple complex analytics or data science projects and products.
Preferred Job Qualifications:
- Master's degree in a computational field, or a Bachelor's degree with significant healthcare experience.
- Experience with SQL and Python.
- Experience with Git version control.
- Shell Scripting.
- Experience in developing clean, readable, easy-to-support Python code.
- Familiarity with cloud computing frameworks such as AWS, Azure and GCP.
- Strong customer focus.
- Strong interpersonal, verbal and written communication skills.
Note: This is a hybrid position based in either Chicago, IL or Richardson, TX.
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HCSC Employment Statement:
HCSC is committed to promoting diversity in the workplace and providing equal opportunities. We are an Equal Opportunity Employer / Affirmative Action employer that values workforce diversity and maintains a drug-free and smoke-free workplace. Screenings for drugs and background checks are required, as permitted by law. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.