Sr. Data Scientist (ML/AI, NLP, Python)| TELECOMMUTE

Codetech • Minneapolis, MN

9h • Remote

About The Position

This position offers an opportunity to apply data science skills at the intersection of healthcare, AI ethics, and regulatory compliance. The role works across legal, compliance, and AI development teams on a variety of AI methods, including generative AI and traditional machine learning. It includes developing responsible-AI guidance, automating testing with Python, identifying privacy vulnerabilities, maintaining test data, and supporting red-team testing of conversational AI systems.

Requirements

• Bachelor of Science degree plus 5 or more years of equivalent experience in computer science, applied mathematics, applied statistics, or a similar quantitative field.
• 5 or more years of experience with the full machine-learning system development, deployment, and maintenance lifecycle.
• 5 or more years of experience working with advanced NLP models and methodologies.
• 5 or more years of experience with Python and machine-learning frameworks such as scikit-learn, Pandas, and 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

• Familiarity with healthcare systems, including claims payment, call centers, or claims-based research.
• 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 working with large language models or conversational AI systems.
• Familiarity with prompt engineering and adversarial testing methodologies.
• Exposure to regulatory frameworks relevant to AI in healthcare.
• Basic understanding of information security principles.

Responsibilities

• Communicate clearly with legal, compliance, and AI development teams about a wide variety of AI methods, including generative AI and traditional machine learning.
• Document findings, create reports, and present results to stakeholders.
• Design and develop job aids and guidance documentation for responsible-AI best practices.
• Develop Python scripts to automate testing processes and analyze results.
• Help identify vulnerabilities related to exposure of personally identifiable information (PII) or protected health information (PHI) in AI interactions.
• Maintain test data sets and contribute to improving testing methodologies.
• Stay current with AI/ML research and incorporate relevant findings into work.
• Provide mentorship and guidance to colleagues, fostering continuous learning and improvement.
• Assist in designing and executing red-team testing scenarios for conversational AI systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior