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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering. Collaborate with Business Unit Stakeholders, Data Science practitioners, Enterprise Data & Analytics engineering, Enterprise Architecture, Modern Deployment, and AI Working Group to define appropriate platforms, technology and execution strategy for Cognitive AI/ML/NLP Use Cases and transition ideas from incubation into mainstream production deployment and adoption across NFCU.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, oceanography, and statistics.
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Extensive experience in data mining, AWS Cloud Data Services - Glue, S3, EventBridge, Athena, Presto SQL, Lambda and data analysis. GDIT's DOJ/OJP team is looking for a dynamic and experienced Data Scientist to guide and build our client's Data management Center of Excellence.
$131,750 - $178,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Master's degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
$117,000 - $210,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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The ideal candidate will provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making for Compliance-Complaints.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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GDIT is seeking a motivated Junior Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.
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Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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data science jobs Company: Comcast in Vienna, VA
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