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Demonstrated experience using big data processing tools such as Apache Spark or Trino. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise.
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You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Reporting consumption advanced analytics, data science and ML.Skill sets: Python, Spark, (PYSPARK) used APIs to integrate with variousservices, Google big data services, Cloud data proc, data store, BigQuery,cloud composer Google data services.
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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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The Data Scientist (Senior) is responsible for planning and leading major technology assignments utilizing big data technologies and knowledge of data science models to analyze large amounts of data and create valuable insights.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Master’s degree in Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Expert level work experience as a Cloud Architect. Experience architecting solutions using structured and unstructured Big Data. Experience architecting solutions using Automation, Augmentation and Artificial Intelligence technologies.
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The Data Science Analyst will manage, architect and analyze big data in order to build data driven insights and high impact data models. The Data Science Analyst supports the development and maintenance of business intelligence solutions and analytics products.
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We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure.
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Experience with at least one or more software languages (e.g. Python, Ansible, Java) , Desired Skills Knowledge of Infrastructure as Code Cloud design, implementation, and configuration Security Development Operations (SecDevOps) Integration with third (3rd) party applications , About NeoMax NeoMax is a minority owned small business that specializes in DevOps, Data Science, and Cybersecurity IT solutions.
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Data Science, Mathematics, Computer Science, Statistics, Business or related field. Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale.
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In this innovative, self-contained, Big Data environment, the ManTech team is responsible for everything from infrastructure, to application development, to data science, to advanced analytics and beyond.
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Through this research experience, the fellow will have the opportunity to explore earth science community standards for the intake and publication of gridded data sets; contribute to the conversion of data holdings to cloud-optimized formats; and develop documentation of best practices for the handling of big datasets.
$86,962 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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