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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Bachelors degree in a healthcare related field, data analytics, health informatics, mathematics, economics, or computer science. Expert in the Microsoft Office Suite, and data visualization tools such as Power BI, Tableau, Looker.
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Education/Experience: Bachelor s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
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Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems.
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Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems. Lead and individually contribute to data science and machine learning R&D projects.
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3) A background in mathematics, statistics and data science disciplines, preferably with an understanding of and demonstrated interest in emerging machine learning and artificial intelligence techniques.
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