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Senior Data Science Engineer, AI

Turquoise Health - Remote

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Science Engineer, AI Remote This is a fully remote role within the United States. We're looking for a driven, entrepreneurial Senior Data Science Engineer, AI to join our team and help eliminate the financial complexity of healthcare. We value creative, outside-the-box thinkers that back their ideas with technical knowledge and action. 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 What you'll bring to the role: - 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

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