Join Tangent International's team as a Healthcare Data Scientist to rigorously evaluate AI solutions for technical soundness, performance, bias, and integration suitability across diverse domains. Your expertise will be crucial in designing validation frameworks, conducting evaluations, and offering technical insights.
Key Responsibilities:
• Conduct technical due diligence by analyzing vendor models, APIs, and performance claims.
• Design robust testing protocols using real or synthetic data.
• Run hands-on evaluations and compare vendor models using Python, scikit-learn, and TensorFlow.
• Translate technical findings into actionable insights and recommendations.
• Collaborate with Product, AI Architecture, and Data teams to share best practices.
Required Qualifications:
• Master's or PhD in Data Science, Computer Science, Statistics, or related field.
• 3–5+ years of experience in AI/ML model evaluation or deployment.
• Strong programming skills in Python, R, and expertise in ML libraries.
• Proven ability to design and execute model validation strategies.
• Experience with SQL and handling large datasets.
Preferred Qualifications:
• Healthcare domain experience is beneficial.
• Experience evaluating third-party AI/ML solutions.
• Knowledge of ethical AI principles, data privacy regulations, and cloud ML platforms.
• Strong communication skills and creative problem-solving ability.
