Generative AI Scientist – Model Risk & Validation

Cotiviti

Generative AI Scientist focusing on model risk and validation within Cotiviti's healthcare solutions team. A data-driven role to improve healthcare cost and quality through AI.

Posted 6/23/2026full-timeRemote • 🇺🇸 United StatesJunior💰 $110,000 - $130,000 per yearWebsite

ATS Keywords

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Hard Skills

model validationbenchmarkingmodel risk managementAIMLGenAImachine learningadvanced statisticsdata sciencemodel monitoring

Soft Skills

communicationcollaborationlearn it all mindsetdriving value

Tools & Technologies

pandasscikit-learnkerasnltkTensorFlowPyTorchGPUAWSAzureGCP

Certifications & Qualifications

Graduate Degree

Industry Keywords

payment integrityhealthcare costsmodel driftdata driftrevenue growthproduction-grade deploymentsApache Sparklarge-scale datasets

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformKerasPandasPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

delivering solutions that help clients identify payment integrity issues, reduce healthcare costs, or improve quality of outcomes.
conducting independent model validation of existing models for benchmarking, assessment, and gauging effectiveness.
determining aspects of model drift and related data drift for the purpose of model risk management (MRM) to reduce risk and drive revenue growth.
applying deep expertise with AI/ML/GenAI model development, including hands-on with model building and evaluation.
driving improvements in model monitoring activities including methods for model registration, model metadata management, and conceptualizing related tools and techniques.

Requirements

What you’ll need

Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
1+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
Experience working with Apache Spark™ and large-scale distributed datasets.
Experience communicating technical concepts to non-technical and technical audiences is a plus.
Passion for collaboration, learn it all mindset and driving value with AI.

Benefits

Comp & perks

medical, dental, vision, disability, and life insurance coverage
401(k) savings plans
paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year depending on specific level and length of service