
Senior Data Scientist and Machine Learning Engineer
2 weeks ago
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At our organization, we are seeking a talented Machine Learning Engineer to join our team. As a key member of our data science group, you will be responsible for building and deploying machine learning models that drive business outcomes.
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We're looking for someone with a strong background in machine learning and a passion for driving business results through data-driven insights. If you have a knack for developing innovative solutions to complex problems and are excited about the opportunity to work on cutting-edge projects, we'd love to hear from you
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About This Role
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The successful candidate will have experience with a range of machine learning algorithms, including supervised and unsupervised learning, linear regression, decision trees, random forests, and gradient boosting machines. You will also have excellent analytical and problem-solving skills, as well as the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
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In this role, you will work closely with our engineering team to design and implement scalable machine learning solutions that meet the needs of our business. You will also collaborate with our data scientists to develop and deploy predictive models that drive business outcomes.
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What You'll Need To Succeed
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To be considered for this role, you will need to have:
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• A Ph.D. or M.S. in Computer Science, Statistics, Artificial Intelligence, Machine Learning, Operations Research, or a related field
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• 6-8 years of experience in building machine learning/AI/information retrieval models
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• Extensive knowledge and practical experience in machine learning, data mining, artificial intelligence, statistics
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• Understanding of supervised and unsupervised algorithms, including but not limited to linear models, decision trees, random forests, gradient boosting machines etc.
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• Excellent analytical and problem-solving abilities
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• Good knowledge of scientific programming in Python
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• Experience with Apache Spark is desired
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• Excellent verbal & written communication skills
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Bonus Points
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Publications or presentations in recognized machine learning and data mining journals/conferences such as ICML Knowledge in several of the following: Math/math modeling, decision theory, fuzzy logic, Bayesian techniques, optimization techniques, statistical analysis of data, information retrieval, natural language processing, large scale data processing and data mining Ability to deal with ambiguity & break them down into research problems Strong theoretical and research acumen
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