Top Analytics Jobs in Washington DC,
The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.
The Operational Risk Analyst will assist in identifying, assessing, and mitigating operational risks within the organization. Responsibilities include coordinating risk activities, conducting risk assessments, preparing governance reports, and maintaining relationships with stakeholders.
The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.
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As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.
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The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.
The Senior Threat Hunt Analyst will focus on conducting incident response, threat hunting, and intelligence analysis. Responsibilities include performing technical analysis, tracking adversaries, and developing advanced hunting techniques while collaborating effectively with the team remotely.
As a Data Lead at Lumos, you will enhance data-driven decision-making by developing data infrastructure, creating actionable dashboards, and collaborating with product teams to define key performance indicators. You'll enable customer success teams with data insights and manage operational reporting to drive performance.
As a Senior Manager of Data Visualization Engineering, you will lead a team focusing on building and maintaining data visualization solutions, ensuring data integrity and security, and guiding the team towards innovative practices in data visualization. You will manage projects and collaborate with teams across the company to align data needs with overall business objectives.
The Global Resilience Analyst will analyze risks to ensure business continuity, streamline operational resilience processes, develop and evaluate policies, coordinate disaster recovery efforts, and facilitate business continuity planning in a fast-moving Fintech environment.
As a Data Analyst in Integrations at dv01, you will engage with structured finance, analyzing large datasets and working with engineering teams to develop solutions. You'll communicate with financial clients and enhance your skills in data analysis beyond Excel. This role will deepen your understanding of financial markets and analytical tools.
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