Lead Data Science Engineer

HCSC (Health Care Service Corporation)

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL · Helena, MT · Waukegan, IL · Tulsa, OK · Richardson, TX
Salary: $121,200–$225,200 / yr
Posted: 1 day ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $173k

$96k most similar roles pay here $239k

This role pays more than 64% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $173k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About HCSC (Health Care Service Corporation)

HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance

HCSC (Health Care Service Corporation) currently has 11 open roles on FindRole.

Listed pay typically runs $92,700–$167,500 across 11 roles with salary data.

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View all roles at HCSC (Health Care Service Corporation)

At a glance

TL;DR · Lead Data Science Engineer

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As a Senior Data Engineer on the Intelligent Delivery Platform team, you will be responsible for creating and managing AI capabilities through data quality assurance, pipeline creation and optimization, and ingestion of data sources for Gen AI purposes. Your day-to-day tasks include prompt engineering, selection and configuration of AI tools, and model management using MLOps practices. You must have proficiency in Python-based Data Science frameworks like LangChain and experience with Azure Cloud Infrastructure, particularly AI-related tooling such as Azure ML and OpenAI services. Additionally, knowledge of PySpark/Databricks for large datasets and observability frameworks is essential. This role requires a strong background in data engineering and machine learning, ideally with expertise in healthcare applications and distributed computing environments.

Skills

Python Azure ML Azure OpenAI PySpark Databricks LangChain LangGraph LangFuse neo4J CI/CD MLOps Prometheus Grafana Kubernetes Terraform PostgreSQL Observability Frameworks

What you'll do

Ensure data quality and integrity for AI capabilities.
Create and optimize new and existing data pipelines.
Ingest and curate data sources for RAG system implementation.
Deliver AI agents through prompt engineering and model management.
Select and configure AI-specific tools and platforms using MLOps practices.
Monitor and manage AI models to ensure operational efficiency.

What we're looking for

Bachelor’s degree in computer science or related field with 5+ years of experience.
Proficiency in data pipelining, ETL processes, and distributed computing.
Experience in Python-based Data Science frameworks like LangChain and LangGraph.
Track record of delivering ML engineering capabilities independently or as a leader.
Expertise in Azure Cloud Infrastructure for AI tools and model deployment.
Knowledge of prompt engineering and evaluation frameworks for AI models.

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Hybrid

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