Burtch Works

We are working with a client in the education space that is looking for a Director level Data Scientist to oversee their Artificial Intelligence initiatives.. Extensive experience in NLP and the design, development, and application of LLM’s and multi-modal AI.. Knowledge of UI/UX design.. This is a HYBRID position working out of Chicago or Columbia, MD. Base salary up to $170K + 25% bonus + LTI. Must be a U.S. Citizen or Green Card holder.. Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models

director of data science

We are working with a client in the education space that is looking for a Director level Data Scientist to oversee their Artificial Intelligence initiatives. This individual will be leading a small team of Data Scientists that will work on projects related to admissions, retention, and financial outcomes. REQUIREMENTS:• Master's degree in a quantitative field.• 8 years of relevant work experience in predictive modeling.• 3+ years of direct management experience.• Extensive experience in NLP and the design, development, and application of LLM’s and multi-modal AI.• Expert in front-end language (JavaScript, CSS) and at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python).• Knowledge of UI/UX design.• Strong Python skills and experience with a front-end language (JavaScript, CSS) and at least one compiled language (Java, C).• Proven record of communicating technical results and insights to senior leadership. This is a HYBRID position working out of Chicago or Columbia, MD. Base salary up to $170K + 25% bonus + LTI. Must be a U.S. Citizen or Green Card holder. Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models

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