Data Scientist

Our company descriptionMission is a platform for hiring, vetting, and managing software development talent. It enables our clients to connect with the world’s best talent to build mission-critical software productsAbout the CompanyThis enterprise AI company develops decision-making solutions for the global insurance sector. The platform leverages agentic AI to automate and optimize complex workflows, including fraud detection, claims processing, and payment integrity. With a large, specialized data science organization, the firm provides scalable tools to help insurers improve operational efficiency and decision accuracy through advanced machine learning and data processing.What You’ll DoBuild multi-modal data pipelines optimized for large language models and document understanding.Design and deploy LLM-based solutions including retrieval-augmented generation (RAG), embeddings, and instruction tuning for claims processing.Develop minimum viable products for agentic AI systems using modern orchestration frameworks and model SDKs.Create custom interfaces and tools that allow AI agents to query internal databases and integrate with external APIs.Establish rigorous evaluation frameworks to ensure AI-driven decisions are unbiased, explainable, and compliant with legal standards.Implement responsible AI practices to mitigate hallucinations and maintain data privacy across all deployed models.Lead technical workshops with clients to present prototypes, gather feedback, and define product roadmap priorities.What You Bring3+ years of experience in data science specifically within the healthcare insurance payment integrity domain.Expertise in production-level object-oriented programming for building scalable, reliable systems.Hands-on experience with Large Language Models (LLMs) and generative AI techniques, including RAG and prompt engineering.Strong foundation in the full machine learning lifecycle, including model evaluation, monitoring, and production deployment.Proven ability to design data pipelines for document processing, OCR, and multi-modal workflows.Experience integrating agentic frameworks with cloud-hosted models.Demonstrated proficiency in client engagement and translating business needs into technical solutions.Nice to HavesExpertise in the Databricks ecosystem, including data cataloging and delta lake architectures.Familiarity with distributed data processing and Spark architecture.Experience using lifecycle management tools for experiment tracking, prompt engineering, and model evaluation.