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Proven experience leveraging Esri's software capabilities including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
$150,280 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Bachelor’s degree in in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related STEM discipline.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, and statistics.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Familiarity with big data technologies such as Apache Spark is a plus. Requirements: Bachelor's degree in computer science, information technology, or a related field. The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Required: Must be a US citizen Must hold an active US government security clearance at the Secret level or higher Must hold a BS degree in either ASL, Communication, Psycholinguistics, Linguistics, Cognitive Science, Computer Science, or a related field.
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Bachelor degree or higher from an accredited college or university (Recommend an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems, or Computer Engineering degree; or a degree in a Mathematics or Engineering field.
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Specific tools/experience areas: Active Directory, Microsoft Azure Required Certifications (Current): CompTIA Security+, Microsoft Certified Azure Administrator Education level: Minimum Bachelor of Science degree in Information Technology, Computer Science, Engineering, or a related.
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BS in Electrical Engineering, Computer Science, Math, or equivalent (M.S. preferred) 5+ years Systems Engineering and related commercial GNSS work experience Knowledge of PNT signal structures and receiver design Understanding of fundamental estimation theory and the application of this theory to GNSS applications Skilled in C, C.
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Advanced degree in engineering, public administration, environmental science, sustainability, energy policy, or other relevant fields. Bachelor's degree in engineering, public administration, environmental science, sustainability, energy policy, or other relevant fields.
$116,425 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Masters or PhD in degree in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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big data science bs degree jobs in Herndon, VA
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