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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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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, oceanography, and statistics.
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Bachelor's Degree in CAD, BIM, GIS, Computer Science, Geography, Environmental Science, Data Science, Engineering, or related field + 6 years of experience or demonstrated equivalency and / or education.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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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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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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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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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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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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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Bachelor's Degree in a relevant field such as software engineering, computer science, computer engineering, electrical engineering, data science, mathematics, or aeronautical engineering.
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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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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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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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