Data Scientist (Generative AI, ML, NLP)

Job Category: Data Scientist

Job Type: Remote

Job Location: Minneapolis Minnesota

Compensation: Depends on Experience

W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.

Job Description

100% Telecommute. Remote from anywhere in the US.

Has the possibility to go contract-to-hire.

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 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
  
  

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
  
  

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JPS-4480

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