Data Scientist

About

Assured is transforming the infrastructure of U.S. healthcare using intelligent automation.

The Role: Data Scientist

What You’ll Do

ML Innovation & Research

• Lead the design, prototyping, and deployment of models across document processing, LLM-based automation, risk prediction, and compliance inference
• Apply foundation models, deep learning, and generative AI to healthcare operational data, working on real problems. Designing retrieval + LLM pipelines to interpret ambiguous state license rules and payer policy text.
• Scaling intelligent document intake across 100+ formats using foundation models and structured rules
• Collaborate closely with engineering and product to take models from concept to production
  

Healthcare Data Integration & Insight

• Develop and manage data pipelines using structured and semi-structured data (e.g., provider rosters, credentialing forms, payer rules, licensing board data)
• Analyze large-scale customer data to derive insights that guide product decisions and customer strategy
• Use operational and compliance data to surface anomalies, inefficiencies, and automation opportunities
  

Stakeholder-Facing & Thought Leadership

• Interface directly with customers and internal stakeholders to understand use cases and shape the right ML approach
• Share learnings via internal memos, external blogs, or whitepapers to grow Assured’s ML thought leadership
• Champion practices around reproducibility, model governance, and continuous learning
  

Team-Building & Mentorship

• Mentor engineers and future data science hires; help shape the team’s technical direction
• Establish baseline tooling and processes for experimentation, deployment, and monitoring of ML solutions
• Work closely with leadership to align ML strategy with business objectives
  

What We’re Looking For

Must-Haves

• 3-5+ years of experience building and shipping ML or deep learning models in production
• Strong Python skills and fluency with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)
• Deep understanding of machine learning algorithms, NLP, and modern data processing workflows
• Ability to design experiments, evaluate models rigorously, and iterate fast
• Comfortable working autonomously in ambiguous, fast-changing environments
• Excellent written and verbal communication for technical and non-technical audiences
  

Preferred

• Graduate degree (MS/PhD) in a quantitative field (e.g., CS, Statistics, Physics, Applied Math)
• Experience working with healthcare, insurance, or compliance data
• Familiarity with AWS/GCP and production ML workflows (CI/CD, model monitoring, etc)
• Experience with LLMs, GenAI, and tools like LangChain, vector databases, or Retrieval-Augmented Generation
• Publications, blog posts, or open-source contributions in ML or AI
  

You’ll Love This Role If You

• Want to lead ML projects from idea to deployment
• Thrive in a 0-to-1 environment and like building from scratch
• Care about real-world impact, especially in healthcare
• Enjoy building systems—not just training models
• Believe great ML products come from close collaboration with product, engineering, and users
  

Why Join Assured

• High-impact work - Tackle bottlenecks that slow down provider access to patients
• Real-world AI - Work on meaningful applications of LLMs and applied ML in compliance, forms, automation, and document intelligence
• Cross-functional exposure - Collaborate with customers, clinical ops, engineers, and founders
• Early-stage upside - Equity, early influence, and a high-growth trajectory
• People-first culture - Remote flexibility, mental health time, and a focus on outcomes, not hours