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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Supervises the Data Engineering Manager, overseeing database administration, data integrity, quality, reporting, statistics, and predictive analytics. CGI Federal is seeking a Product Support Specialist to provide technical assistance and guidance to customers, troubleshoot issues, ensure satisfaction, and contribute to process improvement.
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This Data Engineer (Cloud Analytics) will support data sourcing strategies, designs, and implementation for Navy Federal Enterprise Cloud Data Lake by designing, building, and integrating data from various sources in support of predictive and adaptive analytics.
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Reports to the DevOps Manager and oversees data center operations and production availability. Demonstrated experience in data center operations, system administration, database management, help desk operations, network design, project management, and technical support.
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Product Support Specialist. Leads efforts to maintain a proactive, effective, and compliant cyber and application security posture, ensuring adherence to industry best practices and federal security requirements.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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Experience with machine learning and predictive analytics techniques. Working in a collaborative, team-based environment, the Analytics Manager reports to the Executive Vice President.
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As the Analytics Manager, you will be responsible for transforming raw data into actionable insights, empowering our client teams to make informed decisions. Familiarity with Azure technologies (e.g., Databricks, Azure Data Lake.
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Proven track record of using predictive analytics, forecasting, modeling and data science methodologies in delivering high-impact projects on schedule and within budget. Nice to have knowledge in machine learning, deep learning, and natural language processing techniques, with a focus on Generative AI applications.
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Expertise in predictive analytics including regressions and machine learning techniques. Experience in power markets or in other commodity trading and/or operations domains. Understand various ISO (Independent System Operator) telemetry requirements to maintain grid operator reliability and compliance.
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A strong understanding of artificial intelligence, machine learning, predictive analytics, data science, and demonstrated success in product management of a product driven or enabled by artificial intelligence is crucial to your success.
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Participate in data mining for marketing insights and implementation of predictive analytics and member next best action decisioning to meet the clients product, revenue, and member engagement goals.
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Conducts data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis to measure production, performance and usage of the services and products provided by DIA and its partners.
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Write elegant software which is extensible and gives data scientists flexibility to add new algorithms and analytics in a memory and compute optimal manner. By integrating renewables, energy management technology, and storage with traditional energy resources, we reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids.
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Experience in Data Mining, Analysis, Performance Analysis, Predictive Analytics and Reporting using various methods and tools. They will be part of a team developing, tailoring, maintaining, and using a robust capability of engineering models and simulators in support of predictive analysis of complex systems.
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predictive analytics jobs in Chantilly, VA
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