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Technical background: Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Organic Chemistry, Molecular Biology. If you have at least a $150K book of business as a patent attorney or patent agent, this is an opportunity keep more of what you bill, while still having the backend, administrative support, and internal cross-selling opportunities of a well established firm.
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Primary Skill: Palantir Foundry, Data Science. Role: Palantir Foundry Data Scientist. Primary Skill: Palantir Foundry, Data Science. Deploy and integrate ML models into production environments using Palantir Foundry.
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Candidate should know how to utilize Graphs Datasets (Neo4J or Knowledge graph Data sets) in “Data Science graphs use cases and Algorithms” (clustering, community detection, DFS, BFS, GNN and CNN and Deep Learning, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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B.S. and/ or M.S. in Engineering, Geosciences, Environmental Science, or related discipline, with Environmental, Chemical Engineering, Biology, ESG, Sustainability, or Climate Resiliency focus a plus.
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Graduated from an accredited school or college of mortuary science. Graduated from an accredited school or college of mortuary science. May perform a variety of attendant duties including but not limited to parking lot attendant, driver, usher, pallbearer, or courier.
Starting at $23 an hourPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking an experienced and highly skilled Technical Lead in Machine Learning and Data Science to join our team. Your responsibilities will include leading the data science team, collaborating with stakeholders, and ensuring successful production deployment of machine learning models in the Azure cloud environment.
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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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Bachelor's degree in Computer Science, Data Science, Finance, Engineering, Statistics, Analytics, Economics or related field. Houlihan Lokey is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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The US Oncology Network is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care.
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The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience. Bachelor s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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Experienced in large-scale application development testing – Cloud/On-Prem Data warehouse, Data Lake, Data Science. Having experience in Data Science platforms like SageMaker/Machine Learning Studio.
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science job in Dallas, Norwood, Massachusetts
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