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DST Data Scientist (Collection and Exploitation)

DST Data Scientists in the Collection and Exploitation field gather data from multiple systems and data types to enable key mission insights.
  • Full time
  • Starting salary: $72,030 - $170,800*
  • *Higher starting salary possible depending on experience level
  • Bachelor’s preferably in a quantitative science, engineering, or STEM field
  • Foreign Language Bonus eligible
  • Opportunities for travel are possible

Agency-wide Requirements

All applicants must be:

  • U.S. citizens (dual U.S. citizens also eligible)
  • At least 18 years of age
  • Willing to move to the Washington, DC area
  • Able to complete security and medical evaluations
  • Registered for the Selective Service

About the Job

As a DST Data Scientist in Collection and Exploitation for CIA, you will leverage our exquisite collection capabilities to help understand the world, derive key insights, and enable successful operations.  CIA’s collection systems offer specialized insights spanning a wide range of phenomena and types of data; the data science/exploitation work occurs across the Agency. You will be working with teams of world-class experts, both internal and external to CIA – in many cases you will be steering the work of large collaborative teams. Your work will be realized using advanced hardware, software, and computational platforms with an emphasis of highly scalable and efficient solutions to bring exploitation capabilities to production and bear insights on the nation’s most difficult national security challenges.  Problem solving is highly collaborative, so you will be working with problem domain experts, data and collection experts, systems designers and integrators, and with analysts who interpret the insights you will be deriving.   You will develop your expertise with both Agency-sponsored continuing education, academic and conference participation, and highly integrated on the job training with deep domain experts.

Who You’ll Work With

At the Central Intelligence Agency (CIA), we recognize our Nation’s strength comes from the diversity of its people. People from a broad range of backgrounds and viewpoints work at CIA, and our diverse teams are the reason we can keep our country safe.

Read more about diversity and inclusion

What You’ll Get

Our benefits support every aspect of a working professional’s life, including health and wellness, time off, family, finances, and continuing education. Our programs include highly sought-after government health benefits, flexible schedules, sick leave, and childcare. In some cases, we also offer sign-on incentives and cover moving expenses if you relocate.

As a CIA employee, you’ll also get the satisfaction of knowing your work is part of something bigger than yourself. Our work is driven by one mission: to keep our Nation safe. Every day is an opportunity to enhance U.S. national security.

Learn more about working at CIA.

Minimum Qualifications

  • Bachelor’s degree preferably in a quantitative science, engineering, or other STEM field
  • At least a 3.0 GPA on a 4-point scale
  • Experience in a science, technology, engineering or mathematics (STEM) related field, such as:
    • Computational Social Science
    • Computer Science
    • Data Analytics
    • Economics
    • Engineering
    • Geospatial Analysis
    • Mathematics
    • Operations Research
    • Quantitative Finance
    • Statistics
  • Experience with real world data through thesis research, internships, or work experience
  • Creativity
  • Initiative
  • Integrity
  • Leadership abilities
  • Problem solving skills
  • Ability to work in a diverse team environment
  • Electrical Engineering
  • At least a 3.0 GPA on a 4-point scale
  • Ability to meet the minimum requirements for joining CIA, including U.S. citizenship and a background investigation

Desired Qualifications

  • Advanced degree in a data science equivalent field or sub-field
  • Without previous work experience, a 3.0 GPA on a 4-point scale is strongly desired.
  • Experience working with data rich problems through research or programs
  • Experience with computer programming or user experience/user interface
  • Ability to work across, and help guide, diverse teams including leveraging best commercial and industrial capability.
  • Ability to successfully complete projects with large or incomplete data and provide solutions