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Top Hybrid Data & Analytics Jobs in Washington DC,
As a Data Architect at PwC, you will design and implement data solutions that enable efficient processing and analysis. Responsibilities include data modeling, data governance compliance, collaboration with stakeholders, and architecting cloud-based systems. You will also manage data pipelines and optimize data architecture for scalability and reliability.
The Intelligence Analyst will conduct strategic analysis as part of the RIIA program, creating high-quality intelligence assessments and briefings for senior government officials. The role requires expertise in all-source analytic tradecraft and extensive experience working within the Intelligence Community.
The Principal Engineer, Operations Research Analyst at Shield AI will lead operations analysis to shape business strategy and assess future capabilities of military applications. They will conduct rigorous mathematical analyses, support requirements definition, and enhance modeling and simulation capabilities, ultimately guiding product development and proving the value of AI-powered systems.
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The Communications Analyst will manage and support communication and strategic planning projects for federal clients, focusing on stakeholder engagement and delivering high-quality communication solutions. Responsibilities include creating executive presentations, process documentation, performance metrics development, and managing task assignments in a SharePoint system. The successful candidate will also facilitate meetings and synthesize information into actionable recommendations.
The Analyst at Edelman Global Advisory is responsible for supporting media relations, digital media strategies, and client project management. Duties include researching media targets, drafting pitches, monitoring coverage, managing social media, and assisting senior team members with client deliverables and communications campaigns.
The Qualitative Research Associate will support qualitative research projects by conducting interviews, managing project logistics, cleaning and coding qualitative data using software like Atlas.ti, and analyzing data to identify patterns relevant to client needs. This role requires strong communication skills and the ability to work collaboratively on complex research projects.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
Top hybrid Companies in Washington DC, Hiring Data + Analytics Roles
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