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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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M.S or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics. 5+ years' industry experience in Data Science, Machine Learning Engineering or Data Engineering.
$134,000 - $202,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Analytics / Data Science: Custom tooling using computer vision and common deep learning models. Additionally, you will lead initiatives and operations in partnership company Principal engineers, centering on DevOps, analytics, data science, machine learning, and search.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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The search is for candidates at the interface of data science/machine learning and industrial engineering, operations research, and management science, including optimization, statistical learning, computational social science, healthcare, logistics, and operations.
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The Research Foundation for The State University of New York (RFSUNY) seeks a Business Development Manager with a technical background in an Engineering field, including but not limited to: Mechanical, Electrical, Chemical, Environmental, Civil, Industrial, or Computer, or a Physical Sciences field, including but not limited to: Physics, Chemistry, Computer Science, and Material Science, to join the Office of Industry and External Affairs (I&EA) team.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. What TOOLS you’ll bring with you:Bachelor of Science Degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
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Desired Specializations in One or More of the Following Areas (others considered): cyber security, robotics, machine learning, bio-informatics, large-scale networking, game design, human-machine interface, green energy, advanced semiconductor, industrial automation, electrical engineering, and mechanical engineering.
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About the OpportunityNortheastern University’s Multidisciplinary Graduate Engineering (MGEN) unit seeks highly motivated applicants, committed to teaching excellence, for the role of Assistant/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Boston, MA with general areas of focus in Artificial Intelligence, Machine Learning, and Natural Language Processing.
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BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree. MS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree.
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machine learning computer science engineering jobs Title: engineering in Anoka, Minnesota
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