Kroll · 2 hours ago
Vice President, Data Scientist, AI Risk (L4)
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Responsibilities
Design, develop, and implement methods and processes to validate AI/ML models to ensure they meet the required standards for accuracy, performance, and compliance.
Develop methods and leverage available technology and toolsets to explain AI/ML model decisions and ensure transparency in model outputs.
Ensure AI/ML models adhere to legal, ethical, and regulatory standards, including data privacy and bias mitigation.
Maintain comprehensive documentation of model development processes, validation results, and compliance measures.
Stay updated with the latest advancements in AI/ML, and continuously improve model validation techniques.
Utilize data science knowledge to understand, examine, and audit technical model components. This includes applying machine learning techniques, statistical analysis, predictive modeling, and data visualization to interpret data, analyze results, and provide insights.
Develop and test code using programming languages such as SQL, Java, C++, Python, and apply appropriate testing methods. Validate analytical models, employing model fit testing, tuning, and validation techniques to assess accuracy and robustness of models.
Develop and implement effective controls to ensure compliance with established policies and regulations. Monitor the effectiveness of controls, making necessary adjustments and improvements.
Conduct risk assessments of AI/ML models and methods to ensure compliance and identify areas of concern. Stay current with changes in regulations and industry standards, and update policies and procedures accordingly.
Work closely with cross-functional teams, solution engineers, subject matter experts, compliance professionals, and business stakeholders, to integrate AI solutions into business processes.
Qualification
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Required
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Minimum of 3-5 years of experience in data science, with a focus on AI model development, testing, training, tuning, and validation.
Proficiency in programming languages such as Python or R.
Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Strong understanding of data analysis, modeling, and interpretation.
Knowledge of compliance standards and regulations relevant to emerging technology.
Excellent written and verbal communication skills.
Strong organizational and project management skills.
Ability to work independently and make informed decisions.
Strong problem-solving skills and attention to detail.
Preferred
A Master’s or Ph.D. in Data Science.
Company
Kroll
Kroll is a provider of risk solutions that helps clients make confident risk management decisions.
H1B Sponsorship
Kroll has a track record of offering H1B sponsorships. Please note that this does not
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reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (9)
2022 (16)
2021 (19)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
unknown2023-12-13Acquired· undefined
Leadership Team
Recent News
2024-05-28
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