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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS-CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.
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Basic Qualifications: A Ph. D. in Materials Science, Chemistry, or related disciplines with a strong focus on machine learning applications to domain science A record of excellence in battery research and development as evidenced through peer-reviewed journal articles and/or issued patents.
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There are a variety of Cybersecurity Data Science opportunities across the Department, including supporting several specialized programs at ), the. This position is focused on Data Science.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Role Summary: The Business Intelligence Developer is the subject matter expert in researching and developing data pipelines, data governance, data quality, and Extract Transform Load (ETL/ELT) activities supporting analytical and data science workloads including ad hoc analysis, visualizations, machine learning and artificial intelligence.
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Experience with Data Science, Machine Learning and Artificial Intelligence. Team Management Manage & Coordinate team of Data Steward, Business Intelligence, Data Engineering, Data Governance & Data Science.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Proven experience in leading solution engineering or product design and associated methodsExperience w/Mixed data sets and approaches (analytics, analytic tools, data science)Exceptional understanding of cutting-edge analytics, technologies, consumer behavior, and travel industryProficiency with Python, SQL, Snowflake, Databricks, Tableau, PowerBI and other commonly used analytics, data management and business intelligence applications.
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Cognizant AI & Analytics practice helps clients transform their data into insights and actions, leveraging cutting-edge technologies in data engineering, data science, artificial intelligence, machine learning, and business intelligence.
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Understanding of Artificial Intelligence, Machine Learning, Data Science and Robotic Process Automation. As an IT Audit Manager, you will provide independent and objective audit and advisory services that help Fidelity manage risk, improve customer service, and enhance business performance.
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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission to defend against evolving threats around the world.
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business intelligence machine learning data science jobs Title: senior consultant
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