Lead Data Scientist - Remote
$112,700 - $193,200 per year
Apply (opens in a new tab)Lead Data Scientist - Remote
Posted today
SENIORITY
Lead
SALARY
$112,700 - $193,200 per year
About the role
- Designing and implementing ML models
- Creating custom embeddings
- Building RAG pipelines
- Implementing vector databases
- Developing agentic workflows with LangChainIntegrating AI into enterprise applications for Claims Payment Integrity (PI)
- The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
- Contribute to experimentation with novel ML and Generative AI architectures
- Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
- Support Retrieval‐Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
- Help design and implement AI‐powered enterprise applications
- Analyze large datasets to identify trends, patterns, and actionable insights
- Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
- Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
- Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
- Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
- Contribute to skill development for engineers and interns in AI/LLM techniques
- Comply with company policies, procedures, and directives
- Creating custom embedding models
- Building RAG pipelines
- Vector DBs & semantic search
- Using LangChain for agentic workflows (tools, agents, memory)
- Experience with OpenAI/Azure OpenAI APIsExperience with Azure cloud for compute, security, and resource managementCI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
- Excellent communication and partnership skills
- Experience with Actuarial, Risk and Forecasting Models
- Experience with healthcare claims data
- Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
- Demonstrated problem-solving, and analytical thinking skills
- Demonstrated organizational skills with ability to be flexible and work with ambiguity
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
