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Job Description

Job Description:

Optum is looking for a remote Principal Data Scientist to join their Compliance and Privacy team to help design and develop job aids and guidance documentation for best practices of responsible AI use. This person would be responsible for providing mentorship and guidance to colleagues to foster a continuous learning and improvement.

Day to Day/Responsibilities:

Communication effectively with Legal, Compliance, AI/ML Engineering teams

Document findings, generate reports and present insights to stakeholders

Create job aids and guidance for responsible AI best practices

Develop Python scripts to automate testing and analyze AI system outputs

Identify and asses risks related to PII/PHI exposure in AI interactions

Maintain and improve test datasets and methodologies

Stay up to date with AI/ML research and apply relevant advancements

Mentor colleagues and promote continuous learning

Design and execute Red Team testing scenarios for conversational AI systems

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Must Haves:

BS degree plus 5+ years equivalent experience in computer science, applied mathematics, applied statistics, or similar quantitative fields of study

5+ years of experience with the full ML system development, deployment, and maintenance lifecycle

5+ years of experience working with advanced NLP models and methodologies

5+ years of experience with python and ML frameworks (e.g., scikit-learn, Pandas, Numpy)

Deep understanding of ethical considerations and fairness in AI model development

Strong analytical thinking and problem-solving abilities

Excellent written and verbal communication skills Nice to Haves:

Experience working with healthcare systems including claims payments, call centers, or claims-based research

Proven ability to translate business needs and requirements into technical solutions

Ability to collaborate effectively with cross-functional teams including product managers, data scientists, and business stakeholders

Experience with large language models and adversarial testing methodologies

Exposure to regulatory frameworks relevant to AI in healthcare

Basic understanding of information security principles