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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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Receive internal training on tools, technology platforms (Python, R, SQL, Excel) and modeling processes, learn how to apply theory to actual client project work, and hone business skills and applications of Data Science skills on business problems.
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Collaboration is at the core of our business success and the Vice President, Analytics will need to create a tightknit and dynamic relationship with our clients and the Media and Account teams, in addition to building an Analytics team across Data Science, Engineering, MarTech, and Data Visualization/Reporting.
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Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
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As the Vice President, Analytics , you will lead a team consisting of data scientists, engineers, analysts, and marketing technology specialists that specialize in turning data into actionable insight.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Engage in cutting-edge projects spanning scientific data archives, environmental science systems, 5G wireless solutions, and advanced IT solutions rooted in Big Data, Artificial Intelligence, and Machine Learning.
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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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We help companies, Federal Systems Integrators and commercial entities, to maximize their full range of IT investments, delivering solutions for hardware/software procurement, configuration and imaging, hybrid cloud, modular data centers, cyber security, logistics, customized data science workstations, print management, and data storage.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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At the Johns Hopkins University Applied Physics Laboratory (APL), we solve critical challenges in air and missile defense, homeland protection, cyber security, force projection, and space science.
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Far Ridgeline Engagements LLC, a Qinetiq US company, is seeking an All-Source Intelligence Analyst in Elkridge, MD who is able to perform analysis of specialized and/or technical data, make assessments and recommendations, and prepare documentation related to associated data and analysis.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Work closely with various Business, IT, Analyst and Data Science groups to collect business requirements. Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
data science jobs Title: data science lead in Columbia, MD
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