Top Analytics Jobs in Washington DC,
The Cyber Threat Hunt Analyst is responsible for creating threat models, planning threat hunt missions, analyzing logs, and reporting risk analysis. This role involves collaborating with teams to enhance threat detection and security posture. Ideal candidates should have experience in network and host analysis and proficiency in scripting languages.
The Actuarial Analyst will support the rate review and loss reserving processes, analyze data to inform business decisions, ensure data quality, and assist in preparing actuarial reports and presentations. They will also conduct risk research and communicate technical findings to both technical and non-technical audiences.
As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.
As a Strategy and Analytics Associate, you'll conduct client discovery calls, strategize with the sales team, deliver presentations, support analytical needs, and establish best practices within the Solution Analytics team, contributing to fraud mitigation in financial services.
The Senior Manager of Data Science, Advertising will lead data science initiatives for Mozilla’s advertising efforts, focusing on data-driven decision-making and optimizing ad performance. Responsibilities include developing predictive models, analyzing datasets for insights, and collaborating with product and engineering teams to enhance advertising strategies while maintaining user privacy.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.
The Senior Applied Research Scientist will develop novel radiotherapy algorithms and analytical dose calculation algorithms. Responsibilities include technical ownership, creating new radiotherapy products, testing algorithms, and communicating with both research and product teams to develop solutions that enhance cancer care.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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