IT Artificial Intelligence Data Engineer (VA766844)
Responsibilities:
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Gather business needs and translate them to analytics.
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Produce code that is clearly documented and maintain a version-control system.
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Develop machine learning models that will address business needs.
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Effectively communicate analytics results to a range of stakeholders.
Qualifications:
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Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
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Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
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10+ years of leading data science projects or teams.
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Gathers business requirements needed for analytics.
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Experience mentoring or guiding junior team members.
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Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
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Experience with Big Data frameworks like Spark/Databricks.
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Experience with code version-control systems such as Git.
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Degree in Computer Science, AI, Data Science, or a related field.