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Top Senior Level Data & Analytics Jobs in Washington DC,
The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.
The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.
As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.
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The Senior Analyst - Managed Services provides technical support for Epic EHR applications, performing troubleshooting, system setup, issue management, and documentation to ensure service to complex clients. The role requires managing multiple projects, delivering high-quality customer service, and maintaining relationships with client IT and operations staff, all under the guidance of Senior Application Advisors.
As a Senior Incident Response Analyst, you will lead the incident response team, manage investigations, enhance incident management frameworks, and drive initiatives to improve cybersecurity defenses. Responsibilities include overseeing technical incident response activities, developing and optimizing IR processes, and collaborating with cross-functional teams to achieve cybersecurity goals.
The Senior Manager, Insights Digital Analyst analyzes digital marketing channels using tools like Excel, Tableau, and Python. This role involves leading data collection, campaign analysis, providing strategic insights, mentoring junior analysts, and delivering actionable reports. The position requires a strong understanding of digital channels and exceptional storytelling skills to drive informed marketing strategies.
The Senior Data Scientist will drive complex projects focused on machine learning, providing insights, developing predictive models, and implementing innovative solutions for products. Responsibilities include building scalable ML infrastructure, collaborating with teams, and mentoring juniors while ensuring performance optimization and compliance with MLOps practices.
The Research Scientist will develop AI-driven biophysical simulation methods to enhance knowledge graphs, contribute to drug discovery, and present research findings to interdisciplinary teams. The role involves creating innovative simulation techniques to optimize biological insights and improve health outcomes on a large scale.
As a Staff Applied Research Scientist, you will oversee the research process, collaborate with your team, contribute to the design of research roadmaps, and train other members while solving complex problems in media creation using deep learning techniques.
The Manager of Data Science & Analytics will oversee a team focused on developing healthcare data products and predictive models to support medication management initiatives. Responsibilities include leading data teams, enhancing data operations, ensuring data quality, and presenting actionable insights to improve compliance and efficiency for healthcare clients.
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