Top Senior Level Data & Analytics Jobs in Washington DC,
As a Staff Machine Learning Engineer on the Bidding Policy team, you will design and implement ML models for bidding decisions, oversee reliable and scalable systems, and collaborate with ML and Software Engineers while monitoring recent ML research.
The Intelligence Analyst will conduct strategic analysis as part of the RIIA program, produce high-quality intelligence assessments, and brief senior government officials. Required skills include extensive experience with all-source analytic tradecraft and knowledge of the Intelligence Community, as well as exceptional communication skills and an active TS/SCI clearance.
The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.
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The Principal Quantitative Analyst will strategically support M&A integration and indirect cost accounting practices. Responsibilities include communication with finance and management teams, modeling impacts of organizational changes, and leading discussions with federal clients. The role also involves using data analysis and visualization tools to enhance reporting and financial practices.
The Cloud Data & Analytics Senior Manager will help organizations leverage data analytics to drive business results. Responsibilities include aligning client data strategies, assisting in platform selection, and migrating to modern cloud environments. The role requires leadership in managing diverse teams, problem-solving, and contributing technical knowledge in cloud data architecture.
Lead the greenfield development of consumer marketing and app feature attribution products through platform and data engineering. Collaborate with founders, marketing leadership, product managers, data scientists, and tech leads. Promote creativity in a team culture that values calculated risks.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide process improvement recommendations, lead implementation projects, document processes, and resolve configuration issues. They will also support Workday module assignments and create advanced reports using Workday reporting tools.
Lead and grow a team of data scientists, partner with senior leaders, drive transformative initiatives, build analytics strategy, provide transparency of roadmap, and deliver high-quality outcomes using data science and ML.
Lead data science projects related to consumer pricing and optimize pricing systems. Provide mentorship and technical guidance to peers while building advanced forecasting and bidding systems that impact customer prices directly.
As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.
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