Data Scientist, Consultant

Blue Shield of CA; Minneapolis (MN); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Blue Shield of CA is seeking a Data Scientist, Consultant, to accelerate AI initiatives across the enterprise. You will design and deploy novel AI/ML applications, including LLM-powered solutions, RAG, and AI copilots, integrating into customer-facing workflows such as claims and member experience.

We value rapid delivery, collaboration across teams, and governance for responsible AI in regulated or healthcare environments. Hybrid in‑office schedule applies.

Qualifications

• Bachelor's degree in computer science, statistics, quantitative discipline, or equivalent practical experience.
• 7 years of experience in software development, applied AI/ML, and statistical analysis.
• Demonstrated track record of building and shipping software products rapidly, not just developing models or analyses.
• Working knowledge of machine learning and statistical analysis methods, with experience applying these techniques to business problems.
• Strong software engineering skills and proficiency in Python, including building APIs and backend services.
• Experience with ML design and ML infrastructure, including model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries.
• Hands‑on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph.
• Hands‑on experience building applications that leverage generative AI models, including prompt engineering and retrieval‑augmented generation (RAG)

Responsibilities

• Develop and deploy novel AI/ML applications and features across enterprise.
• Design, build, and ship production‑grade AI products including LLM‑powered apps and RAG solutions.
• Collaborate with partner teams to translate AI research into real‑world products.
• Move features from conception to production, delivering impact and value.
• Build APIs and backend services to support AI functionality.
• Apply AI/ML models to business problems and measure outcomes.

Skills

Python programming

ML design & deployment

LLM apps & prompts

RAG systems

LangChain/LangGraph

API development

Deep learning

Education

Bachelor's in CS/Statistics

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Azure

AWS

GCP

Spark

SQL

Job description

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying machine learning, statistical analysis, generative AI, and applied AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Consultant will develop and deploy novel applications that leverage machine learning models, statistical methods, and generative AI. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting‑edge AI research into real‑world products and taking features from 0 to 1. You will design, build, and ship production‑grade AI products, including LLM‑powered applications, AI agents and copilots, retrieval‑augmented generation (RAG) and search, statistical models, and AI‑enabled automation, embedded directly into customer‑facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high‑performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Bachelor's degree in computer science, statistics, quantitative discipline, or equivalent practical experience
• 7 years of experience in software development, applied AI/ML, and statistical analysis
• Demonstrated track record of building and shipping software products rapidly, not just developing models or analyses
• Working knowledge of machine learning and statistical analysis methods, with experience applying these techniques to business problems
• Strong software engineering skills and proficiency in Python, including building APIs and backend services
• Experience with ML design and ML infrastructure, including model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
• Hands‑on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
• Hands‑on experience building applications that leverage generative AI models, including prompt engineering and retrieval‑augmented generation (RAG)

Preferred Knowledge and Experience

• Master's degree; or a PhD with relevant experience
• Experience with generative AI research or applications
• Experience building agent‑based systems and working with orchestration frameworks
• Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark
• Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management
• Experience rapidly developing and shipping software in a fast‑paced, customer‑facing environment, adapting to changing priorities
• Understanding of responsible AI and governance for regulated or healthcare environments

Hybrid

This role requires employees to be in‑office based on our hybrid workplace model, balancing purposeful in‑person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in‑office time based on business need.