Senior Data Science Engineer, AI

🕒 May 21

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Turquoise Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤝 B2B

📋 Compliance

💰 $30M Series B - Turquoise Health on 2024-01

SaaS • B2B • Compliance

Turquoise Health is a healthcare transparency platform and SaaS company that aggregates, standardizes, and publishes hospital and health plan pricing data to make healthcare costs accessible and actionable. It provides machine-readable price files, patient cost-estimate tools, contracting and analytics software, and compliance solutions to hospitals, health systems, payers, employers, and life sciences organizations. The company’s products help organizations meet regulatory price-transparency requirements, compare provider costs, and enable consumers and enterprise customers to make cost-conscious healthcare decisions.

📋 Description

• 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 • Bonus points: Revenue cycle, healthcare payments and/or medical billing experience

🏖️ Benefits

• Competitive pay with equity options • Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options • Company-sponsored disability & life insurance • Unlimited PTO • 401(k) + 4% Matching • Fully remote work + flexible working hours • $750 work-from-home setup budget • Paid biannual in-person company summits • Quarterly $150 co-hanging stipend to meet up with coworkers • Monthly $100 health and wellness benefit • Generous paid family leave • Annual $1,200 learning & development stipend