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Careers

Artificial Intelligence and Data Science Careers

Our world is driven by data. It drives all sources of intelligence and powers the Artificial Intelligence (AI) tools to make the intelligence work for us. To make that happen, CIA needs the expertise of Data Scientists and Artificial Intelligence Specialists to exploit, study, and manage it all.

  • As a Data Scientist you will play a critical role in analyzing and interpreting complex data across a wide range of missions, many of which drive the Agency's use of AI technologies to support our mission. You will work closely with stakeholders to identify and extract insights from large datasets, develop predictive models, and design, develop, and deploy solutions—in some cases powered by AI—to complex problems. During your career, you may lead a team of data professionals or data-driven initiatives/ projects.

  • Our Artificial Intelligence Specialists drive the tools and governance to ensure we are leveraging AI correctly and ethically, and work collaboratively across the Agency and beyond to bring the best tools to our mission set.

At CIA you may have the following roles and responsibilities:

Analysis and Modeling

  • Design, develop, and deploy statistical models and machine learning algorithms to analyze and interpret large datasets, including text, imagery, and geospatial data
  • Apply advanced data analysis techniques, such as natural language processing, network analysis, and predictive modeling, to identify patterns, trends, and anomalies
  • Develop and validate AI models using various data sources and ensure models are accurate, reliable, and explainable
  • Collaborate with other data scientists, AI specialists, and stakeholders to integrate models into larger systems

Ethics and Governance

  • Participate in the development of ethics and governance frameworks
  • Ensure solutions are developed and deployed in accordance with policies and procedures
  • Collaborate with stakeholders to address risks and concerns
  • Develop and maintain data and AI architectures and governance frameworks to ensure quality, security, and compliance

Integration and Management

  • Integrate and manage large datasets from a variety of sources
  • Design, develop, and deploy AI-powered solutions and integrate AI technologies with existing systems and infrastructure

    Insight Generation and Communication

    • Collaborate with subject matter experts to develop and refine data and AI-driven solutions to complex problems
    • Develop and present findings and recommendations to senior stakeholders, including written reports, briefings, and visualizations
    • Communicate complex technical concepts to non-technical stakeholders

    Research and Development

    • Identify and evaluate new emerging trends, techniques and technologies in data science and artificial intelligence, to include deep learning, machine learning, natural language processing, and computer vision

    Collaboration and Teamwork

    • Work closely with cross-functional teams to identify and address data and AI driven challenges
    • Participate in working groups and communities of interest to share knowledge and best practices
    • Collaborate with internal and external partners to advance data and AI capabilities