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Top Resources if you want to work as a Data Scientist for the CIA

Ever wanted to work in security intelligence area & use your data science chops? Here are top resources to help get started working for the CIA

Data Scientists at the CIA job description:

Salary: $61,444 – $139,523

Entry Level: Bachelor's degree and experience with applied quantitative research working with real world data, either through thesis research, internships, or work experience. Applicants should have demonstrated creativity, initiative, and leadership abilities.

Developmental: A Bachelor's or Master's degree and 2-5 years of work experience in a Data Science equivalent field or sub-field, working with data rich problems either through research or programs and experience with computer programming. Applicants should have demonstrated ability to successfully complete projects with large or incomplete data sets and be able to provide solutions.

Full Performance: A Master's degree, or equivalent work experience, and 5+ years experience in a field where you have applied technical methods to a substantive problem. Applicants should be an expert in their field and have demonstrated ability leading Interdisciplinary teams throughout the full course of a project's life-cycle.

Minimum Requirements: A Bachelor's degree with a GPA of 3.0 or better on a 4.0 scale as well as initiative, creativity, integrity, technical excellence and strong interpersonal and communication skills. A self-starter attitude, the ability to work independently and in a group, demonstrated initiative, and writing/briefing skills are also required.

A Day in the Life of a CIA Data Scientist:

On one level, Cameron sees similarities between his former and current jobs. He says, “In both positions, I use algorithms, systems, math, computers, and people to rapidly find actionable intelligence in large, complicated data sets.” But some parts of the jobs diverge. He says, “There’s a tactical aspect to working at the CIA that didn’t exist in my previous jobs. Now I’m looking at data around specific events or threats. I’m trying to glean insights that can prevent something harmful from happening, or I’m trying to find out why or how something did happen.”

Cameron points to his colleagues as one of the reasons he finds working at the CIA so rewarding. “The people here are dedicated, hard working, reliable, and industrious,” he says. “They’re even more results-oriented than people I worked with in the private industry because the stakes are much higher.”

Meet the Man Reinventing CIA for the Big Data Era

“We have the ability to do more sense-making to provide for analysts a real ability to forecast,” said Hallman, quickly adding that forecasting, arriving at a better understanding of multiple probabilities, is fundamentally different from prediction. “We are gaining the ability to anticipate the conditions of change to determine if they are anomalies or areas to focus on. This directorate will bring focus to that anticipatory intelligence capability,” he says. “It’s often in the aggregate that we get an impression.” That’s particularly true of social media, which provides of course not only intelligence for specific operations—targeting this or that ISIS leader in Syria—but also taking the temperature of an entire population. It’s sentiment analysis on a massive, population-wide scale. “If you have time, you can develop insight into patterns,” with social media data, he says.

CIA Chief Tech Officer: Big Data Presentation

"You're already a walking sensor platform," Hunt said, referring to all of the information captured by smartphones. "You are aware of the fact that somebody can know where you are at all times because you carry a mobile device, even if that mobile device is turned off. You know this, I hope? Yes? Well, you should."

This list was researched by TechRoba

Some opinions expressed in this article may be those of a guest author and not necessarily Analytikus. Staff authors are listed

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