Turquoise HealthRemote
Senior Data Science Engineer, AI
United States of America
Full Time
2 weeks ago
$170,000 - $185,000 USD
H1B Sponsor Likely
Key skills
PythonCSQLAILLMOpenAIRAGPineconeWeaviateETLELTData EngineeringAnalyticsRedshiftAirflowdbtS3
About this role
Turquoise is a Series C price transparency platform for finance leaders across healthcare. They are seeking a driven, entrepreneurial Senior Data Science Engineer, AI to help eliminate the financial complexity of healthcare by building data solutions and maintaining data engineering systems that support AI use cases.
Responsibilities:
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Unify and augment multi-source healthcare datasets (e.g., claims, contract rates, demographics) into high-quality, Analytics-ready data models that power internal and external products
- Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
- Contribute to building, maintaining, and testing data pipelines
- Draft internal and external technical documentation
- Seek and prioritize technical and product feedback from internal customers
- Iterate quickly with an eye towards value
Requirements:
- Bachelor's degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
- 4+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Familiarity with modern AI tooling and frameworks (e.g., OpenAI APIs, vector databases like Pinecone/Weaviate, embedding workflows, RAG architectures)
- Understanding of evaluation strategies and monitoring for LLM-based systems (e.g., hallucination mitigation, eval frameworks, feedback loops)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
- Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs. You can problem solve independently
- Comfortable working remotely in a collaborative, technical team
- Revenue cycle, healthcare payments and/or medical billing experience