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About
Design and build highly accurate machine learning models for eDiscovery intelligence products Contribute to the engineering of scalable systems for real-time/near real-time analytics Collaborate with cross-functional teams to develop and implement data models that drive predictability and analytics
Required Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent work experience of 3-5 years or a Ph.D Proven experience of 3-5 years in developing and implementing advanced machine learning models Advanced knowledge and experience in statistics, machine learning, and predictive modeling, with expertise in R or Python and SQL databases Proficiency in developing complex data models using statistical and machine learning techniques Demonstrated ability to drive innovation and solve complex business problems in a fast-paced environment
Languages
- English
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