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

Title: Data Scientist (ML/AI, NLP, Python)| TELECOMMUTE

Location: Remote

Job Type: Contract

Description: This position offers a unique opportunity to apply data science skills at the intersection of healthcare, AI ethics, and regulatory compliance.

Responsibilities

• Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML.

• Document findings, create reports, and present results to stakeholders.

• Design, and develop job aids and guidance documentation for best practices of responsible AI.

• Develop Python scripts to automate testing processes and analyze results.

• Help identify vulnerabilities related to PII/PHI exposure in AI interactions

• Maintain test data sets and contribute to improving testing methodologies

• Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work

• Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement

• Assist in designing and executing Red Team testing scenarios for conversational AI systems

• Required:

• BS degree plus 3+ years equivalent experience in computer science, applied mathematics, applied statistics, or similar quantitative fields of study

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

• 3+ years of experience working with advanced NLP models and methodologies

• 3+ 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

• Preferred:

• Familiarity with healthcare systems including claims payment, call centers, or claims-based research.

• Proven ability to translate business needs and requirements into technical solutions

• Proven 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