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Top Senior Level Data & Analytics Jobs in Washington DC,
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.
As a Senior Risk Analyst, you will manage issue identification and escalation, develop frameworks for issue management, work with leadership on communication for committees, and enhance operational processes. Your role will involve building relationships across the organization to support compliance and risk management initiatives.
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The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
The Senior Manager will develop and enhance Navan's fraud risk management capabilities, lead analytical projects, and create strategies for detecting and preventing fraud. Responsibilities include reviewing current policies, managing investigations, providing analytical insights, and collaborating with industry professionals to improve fraud prevention efforts.
As a Senior Manager of Analytics at Spring Health, you will lead the embedded analyst program, collaborating with the Medical Affairs team to improve data infrastructure, tools, and dashboards. You will manage three analysts, refine operational processes, and ensure the team meets its key performance indicators (KPIs).
The Senior Customer Success Analytics Analyst will support digital customer engagement teams, analyzing performance metrics, and providing insights to optimize customer strategies. This involves developing dashboards, forecasting, customer segmentation, and enhancing automation to improve overall customer experience and satisfaction.
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