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Top Remote Analytics Jobs in Washington DC,
As the Director of Data & Analytics, you will lead a team to develop and scale data products offering critical insights to merchants. You will set the vision for the data strategy, manage the data roadmap, and collaborate with the Product leadership team to ensure data-driven decisions enhance product development.
As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conducting background interviews and investigations into project teams. Your responsibilities include assessing risk levels, providing exceptional customer service, and documenting your findings to support KYC badge decisions. You will evaluate project teams for quality, create content related to KYC, and work independently in a fast-paced environment.
As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.
As a research scientist at Virdx, you will be responsible for developing the diffusion simulation engine, optimizing MRI protocols, and building the ground truth pipeline to innovate cancer detection methods using machine learning and statistical inference.
The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.
The AI Strategist at Quisitive serves as a bridge between pre-sales assessments and technical solutions for AI projects. Responsibilities include identifying business value of AI use cases, specialized industry knowledge, evaluating project viability, and collaborating with teams to customize AI solutions for clients.
As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.
The SAS Analyst/Developer will develop and maintain SAS programs, leverage Python for data workflows, and collaborate with teams to translate business requirements into analytical solutions. Responsibilities include data validation, cleansing, optimizing processes, and documenting methodologies.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The System Integration and Data Migration Specialist will manage data migrations, collaborate with customers to define technical requirements, conduct data mapping and cleansing, develop migration plans, and maintain documentation for implementation. This role emphasizes ensuring data integrity during migration processes and providing feedback for product improvements.
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