Lead Data Science Engineer

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. This position is responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform. This includes: ensuring data quality; creation of new data pipelines; optimization and management of existing data pipelines; ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system); AI Agent delivery; Prompt Engineering; selection and configuration of AI-specific tools and platforms; management and monitoring of AI models through MLOps tools and model ops practices. To operationalize AI capabilities, they will work closely with larger team who will supplement where traditional application development support is needed. NOTE: This hybrid role can be located in CHICAGO IL; WAUKEGAN, IL; TULSA, OK; HELENA, MT; ALBUQUERQUE, NM; or RICHARDSON, TX ~ relocation will not be offered; sponsorship is not available. Required Job Qualifications: 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: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high- level programming language; distributed computing; understanding of healthcare. Proficiency in iterative development practices. Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products. A track record of independently delivering or leading the delivery of ML engineering capabilities. Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse). Experience in Model evaluation and deployment. Experience in data curation, prep, training, and fine-tuning of Models. Experience in evaluation frameworks Experience in prompt engineering Experience in working with multiple Models Preferred Job Qualifications: Master degree in a computational field, or Bachelor degree with significant healthcare experience Understanding PySpark / Databricks to efficiently work with large data sets Azure Cloud Infrastructure / Deployment with emphasis on AI related tooling, Azure ML, Azure OpenAI, etc. Experience in Observability Frameworks and Framework Operationalization. Experience in creation of knowledge graph database (neo4J) Experience in working with Small Language Models or custom Models Compensation: $121,200.00 - $225,200.00 Exact compensation may vary based on skills, experience, and location HCSC Employment Statement: We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. To learn more about available benefits, please click #J-18808-Ljbffr InformationTechnology