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Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
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Master’s Degree in Statistics, Operations Research, Data Science, Computer Science or related field. Experience in supply chain planning systems and their data science capabilities like 09 Solutions, SAP APO, Blue Yonder, or other top tier solutions.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Masters or PhD degree in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
$126,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge Sharing & Mentorship: Stay updated on the latest advancements in data science, natural language processing, computer vision, and generative AI research. This role will spearhead advanced data science solutions, focusing on machine learning (ML), Large Language Models (LLMs) and computer vision applications to revolutionize the insured experience and optimize claims workflows.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$66,560 - $95,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Seven (7) years of experience and a Doctorate Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensic, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment.
$130,270 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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big data science computer jobs Title: business systems analyst
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