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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Bachelor's degree in a relevant field that focuses on Management Information Systems, Data Science, Computer Science, Information Technology, Information Systems, or related field.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in related field Supply Chain Management/ Logistics, Industrial Engineering, Operations Research, GIS, Data Science, Computer Information Systems or Business Management.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Require Bachelor of Science in Computer Science/Engineering, Information Systems/Technology, Engineering, Data Analytics/Sciences, or related fields and 5 years of experience in the job offered, software engineer/developer, data analyst/engineer/scientist, systems/programmer engineer/analyst, associate/consultant, or related field.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Stay updated on advances in meteorological science, techniques, and tools to continually enhance service offerings and maintain a competitive edge in the industry. Bachelor’s degree in Meteorology, Atmospheric Science, or a related field; Master’s or PhD preferred.
$179,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Master's degree in Computer Science, Engineering or a related field - 5+ years of experience in a DevOps/SRE role - Strong experience with cloud computing and highly available distributed systems - Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations.
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SKILLS AND EXPERIENCE WE ARE LOOKING FORComputer Science, Mathematics, Engineering or other related degree at bachelors level6+ years of hands-on experience on relevant technologiesJava, Scala, Scripting, REST, Spring Boot, JerseyKafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASEFinance industry experience is preferredABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.
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Innovative Product: SnapLogic is the only company to provide a single, unified platform for all of a company's integration and automation needs: application integration, data integration, API management, B2B integration, and data engineering.
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Our teams are contributing to next generation autonomy and ADAS active safety systems through core algorithms, data-driven approaches, and efficient architectures. We are looking for a systems-minded engineer with experience in AD/ADAS to develop motion planning algorithms for our products; an engineer who is excited to work with others on a cross-functional team to develop world-leading capabilities; an engineer who is passionate about applying the results of their efforts to improve the lives of millions through safety and mobility.
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4+ years hands-on data science experience. Hands-on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA.
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The Client Success team works across the organization, teaming with the enterprise sales team in the market along with internal product development and data science teams. Provide on-going user support via in-person, email, virtual/webinar and telephonic client interactions.
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Our standard interface enables us to fly multiple customer payloads on the same satellite, with capabilities such as earth imagery, weather & climate /science data collection, IoT connectivity, in-orbit demonstrations, and national security missions.
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