Data Science Engineer
The Provider and Network Data Science team enables healthcare providers and internal teams to make informed decisions regarding the cost of healthcare through the deployment of advanced analytics and tools. Our team is highly collaborative and customer-focused. Day to day work involves identifying provider and network insights using our established methodologies and exploring new ideas to better serve our customers.
The team has developed several models that are of interest to our stakeholders. We are looking for an engineer to evaluate the code base and make refactoring recommendations to ensure a scalable and reliable production process. Additionally, the engineer would be defining the best practices for promotion of development pipelines into production. They would sign off that development code has been adjusted to conform to the production process. A key responsibility will be leading discussions and training for the data scientists on designing data models and writing efficient pipelines - in order to streamline future production integrations.
In addition to being responsible for our production process, the engineer will be evaluating new projects and new data sources that could augment our understanding of provider, network and member behavior. They would engineer features from these sources and perform experiments to evaluate the improvement in model performance the data provides. The data engineer would also develop backends of tools that enable our users to effectively make business decisions.
The engineer is responsible for ensuring data quality, creation of new data pipelines, optimization and management of existing data pipelines, ingestion and curation of data sources for analytical purposes, and transformations of structured and unstructured data into formats suitable for machine learning and advanced analytics. As data science products are operationalized, they will also work on deployment and making sure products are production-ready and run smoothly. They will work closely with IT on implementation of data products where traditional application development support is needed.
Required Job Qualifications:
•Bachelor degree and 3 years of work experience in a computer science, engineering, or related field OR Master degree and 2 years of work experience in a computer science, engineering, or related field OR Ph.D. in a computer science, engineering, or related field
•Learning and growth mindset.
•Interpersonal, verbal and written communication skills.
•Proficiency in at least four 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.
Preferred Job Qualifications:
•Experience working with healthcare data (both transactional and reporting datasets): claims, enrollment, clinical, etc.
•Distributed ETL/Computing: Hadoop, Spark (both Python and Scala), Hive, and Pig (for legacy processes)
•Relational databases: MS SQL Server, Teradata, etc.
•Experience with cloud services: Microsoft Azure or Amazon Web Services (AWS)
•Knowledge of Docker and Kubernetes, ideally with continuous integration experience
•Experience integrating data science applications with enterprise network and security infrastructure
•Desire to explore working with streaming data
•Version control using git
•Web application development (NGINX, React, Node.js)
This position is based in Chicago, IL.
HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Requirements: Expertise Information Technology Job Type Full-Time Regular Location IL - Chicago
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