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Master’s degree in Statistics, Econometrics, Data Science, or equivalent combination of education and related work experience. 10+ years of experience performing advanced customer data analytics, customer segmentation, data mining and data science.
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Provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Serves as a faculty member at the National Intelligence University, teaching courses in the Data Science in Intelligence (DSI) concentration and/or technical courses in the Cyber Intelligence (CYI) concentration, as well as core intelligence courses in the Oettinger School of Science and Technology Intelligence.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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A working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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The Master of Science in Data Analytics and Policy prepares students to be data-driven leaders and decision-makers, with a curriculum that blends data science training with substantive expertise in politics and policy.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Required Qualifications: 2+ years of experience with artificial intelligence, data science, machine learning, data or software engineering research, full stack development, or data analytics.
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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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The mission of DFS is to provide high quality, timely, accurate, and reliable forensic science services using best practices and best available technology, focusing on unbiased science and transparency, to enhance public safety and health.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement. Third Party Risk Management: Advises on appropriate sharing of Personal Data with external parties (e.g., clients, partners, vendors, and donors), including, where appropriate, with support from and in consultation with IDB Invest Legal department.
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Data Engineering & Platforms (CITDE) organization is seeking a Data Scientist responsible for leading our machine learning and artificial intelligence deliverables & strategy, and the execution of related programs and practices that drive measurable business outcomes.
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Education: Master of Science in Analytics, Data Science, Computer Science, Economics, or a related field. Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling.
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data science jobs Title: trainee Company: Johnson in Washington, DC
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