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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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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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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.
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This position is focused on Data Science. Overseeing teams and programs 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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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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Experience in analysis, data analysis, data visualization, mathematics, statistical data mining, or data science. Experience in business analysis, data analysis, mathematics, data warehousing, statistical data mining, and/or data science.
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Java and variety of web development and data science technologies including Angular, SQL, OpenShift, Apache Spark, and other. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Generation Product Support team located in preferred locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
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The SAE Environmental Scientist will be an integral part of NEONs Terrestrial Instrument System (TIS) Science Team, which is responsible for delivering scientific design solutions, software and data products for 47 NEON terrestrial sites.
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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the the. Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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Avery Dennison is seeking a Materials Scientist to meet organizational needs for accelerated weathering testing, outdoor aging, analytical testing, data analysis/machine learning, and specific weathering research projects with pressure sensitive adhesive film constructions for Graphics & Durables applications.
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Description The Staff Environmental Scientist will assist in conducting and overseeing environmental assessments, supporting environmental compliance efforts, preparing permitting applications and analyzing environmental data for various types of projects, including power generation and electrical transmission construction activities, oil & gas activities, renewable projects, industrial sites and water treatment facilities.
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Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Knowledge/Experience: Master s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor s degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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data science jobs Title: data Company: Joveo Us
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