Top Remote Data & Analytics Jobs in Washington DC,
The Consumer Analyst at Mondelēz International will be responsible for analyzing consumer contact trends and providing reporting insights to key stakeholders. This includes managing consumer contact data, ensuring accuracy in reporting, forecasting contact volumes, and participating in global meetings for strategic improvements. The analyst will also handle product recalls and ensure training effectiveness for agents at the Contact Center.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
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As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
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As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
The Senior Marketing Analyst will analyze marketing data to identify trends and enhance strategies, develop dashboards to track KPIs, and collaborate on customer segmentation. This role requires strong analytics skills and the ability to present actionable insights to stakeholders.
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 Analyst, Value Analytics & Operations role involves leveraging data analysis to enhance operations and client experiences. Responsibilities include contributing to client value stories, maintaining operational processes, and collaborating with different teams. The role requires strong data skills to investigate metrics, create reports, and support strategic insights.
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