Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The Senior Scientist will develop and implement quantitative pharmacometric strategies to enhance biomedical decision-making. Responsibilities include leading collaborations, conducting modeling and simulation, and preparing reports for drug development programs.

The Data Architect will design, develop, and maintain data architecture and infrastructure, including data modeling, data integration solutions, and governance policies. The role requires collaboration with teams to ensure data integrity, security, and accessibility while leading data transformation initiatives.

As a Senior Data Scientist at Houzz, you will collaborate with various teams to launch data-driven initiatives, define KPIs, design experiments, and provide actionable insights to enhance business performance. You will manage data projects, analyze results, and support product development through data insights.

The Technical Product Management Specialist will manage the lifecycle of Building Management Systems and Electrical Power Monitoring Systems to ensure operational efficiency and compliance with standards. Responsibilities include developing product strategies, collaborating with teams, monitoring trends, and providing technical training.

As the Senior Marketing Analyst, you will analyze data to enhance customer acquisition and retention strategies, create reports and dashboards, manage the martech stack for mobile apps, and apply statistical models to drive marketing decisions.

The Senior Manager, Data Engineering & Analytics will lead the data engineering and analytics teams to develop scalable data models and analytics products that support Crisis Text Line's mission. Responsibilities include managing data workflows, collaborating with stakeholders, and driving best practices in data utilization to enhance service delivery.

The Principal Predictive Analytics Consultant designs and delivers predictive analytics solutions for financial institutions, focusing on optimizing underwriting processes and credit risk assessments. Responsibilities include managing complex datasets, developing and validating predictive models, project execution, and client communication to ensure actionable data insights.