JobgetherPosted today
Data Scientist Principal, AI Development and Governance
Data Scientist Principal, AI Development and Governance at Jobgether scores 4 out of 100 on AI centrality, which makes it a Level 1 role on this board.
AI in this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist Principal, AI Development and Governance based in United States.
This is a fully remote, full-time senior individual-contributor role focused on building trustworthy AI and machine learning capabilities for healthcare fraud, waste, and abuse detection.
You’ll split your time between developing production-ready models and establishing the standards that guide responsible AI across the broader data science team.
The role combines hands-on machine learning, generative AI evaluation, model governance, and large-scale healthcare data analysis.
You’ll work with complex claims data to develop findings that can be trusted by healthcare partners, investigators, and auditors.
The position also requires the ability to assess emerging AI capabilities, determine where they can add value, and identify situations where they are not yet appropriate.
You’ll collaborate with data scientists, BI developers, subject matter experts, partners, and auditors across a distributed U.S. team.
This opportunity is well suited to an experienced data scientist who enjoys both technical delivery and setting rigorous standards for responsible AI.
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
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- List these exact terms on your resume: AI Evaluation and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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