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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Experience with machine learning and data science workflows on Databricks.
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Proven experience working with Databricks for big data processing and analytics. Implement best practices for data governance, security, and compliance on the Databricks platform.
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Bachelor's degree or higher in systems engineering or in related technical or scientific fields such as data engineering, mathematics, statistics, probability operations research, engineering management, computer science, information science, or related STEM degree program; or Midlevel work experience as a Data Scientist.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure (OpenStack) with a true big-data footprint (over 10 petabytes.
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Bachelor’s degree in Computer Science, Information Systems, Software Engineering or a related field (4 additional years of experience may be substituted for a Bachelor’s degree. Developing web applications for real-time query and analysis of our petabyte-scale data store, creating distributed analytics purpose-built to support our mission partners, and helping to constructnew and maintain existing data pipelines tasked with automatically retrieving and ingesting data.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Technology Tools: AWS, Open Search and Python Data Science tools. With minimal supervision provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.
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3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience. Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
$86,700 - $206,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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Experience with data wrangling of large datasets using commercial or open-source data science tools and big data frameworks such as Apache Spark. 5+ years of experience in Data Science role.
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Ability to perform basic data queries and create executive summary data visualizations using SQL, Google Data Studio, Tableau, Alteryx, Qlik etc. Audit experience in a Big 4 Public Accounting firm or Risk Management experience including performing assessments, designing controls, and managing enterprise control frameworks.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative Machine Learning solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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AWS, Big Data/Cloudera, VMWare, Scrum Master. and sophisticated data analysis in support of key Agency, US national security, and foreign policy. or technical field of study (e.g., statistics, mathematics, computer science, physical science, quantitative social sciences.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We’re not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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HII Mission Technologies is seeking an experienced Senior Data Scientist to help support our customer in Fairfax, VA. This position will act as the leader in identifying ETL tools to be incorporated in a data science enclave and participate in implementing a cloud-based environment into that data enclave.
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data science big jobs in Reston, VA
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