Data Scientist, Consultant

Blue Shield of CA; Springfield Meadows (CA); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Blue Shield of CA is seeking a Data Scientist, Consultant on our AI & Machine Learning team to translate cutting-edge AI research into real-world products. You will design, build, and deploy production-grade AI features inside customer-facing applications and enterprise workflows, including LLM-powered apps, RAG, and AI automation.

The role emphasizes rapid feature development, collaboration across partner teams, and delivering impact while adhering to governance and responsible AI principles.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/statistics/quantitative field
• 7+ years in software dev, applied AI/ML, statistics
• Proven track record shipping software products rapidly
• Strong Python skills and building APIs/backend services
• Experience with ML design, deployment, data processing
• Hands-on with DL and LLM frameworks (PyTorch, TF)
• Experience with generative AI models, prompt engineering, and RAG

Responsibilities

• Design, build, and ship production-grade AI products (LLM apps, agents, copilots, RAG, AI automation).
• Collaborate with partner teams to translate research into real-world features and scale impact.

Skills

Python

APIs

ML infrastructure

Deep learning

LLMs

Prompt engineering

RAG

Software engineering

Education

Bachelor's degree in CS/Statistics

Master's degree

PhD (relevant experience)

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Azure/AWS/GCP

Spark

CI/CD (MLOps)

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.