Sr Data Scientist - W2 (NO C2C) Posted by Tauqeer

Overview

Remote
$50 - $60
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Machine Learning (ML)
NumPy
Pandas
Python
Generative Artificial Intelligence (AI)
NLP
Natural Language Processing
Large Language Models (LLMs)
Health Care

Job Details

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

Primary 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 Qualifications:
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 Qualifications:
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.