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