GEOINT Data Scientist

As a GEOINT Data Scientist at ManTech, you'll engage in various key responsibilities that circle around providing technical expertise in geospatial intelligence. Tasks will include developing techniques for handling big data, conducting analytical processes, and offering training to other analysts on data science methodologies. You will also serve as a Subject Matter Expert, providing valuable insights on data manipulation and visualization.

To qualify for the GEOINT Data Scientist role at ManTech, you need a minimum of 10 years of GEOINT experience. Depending on your educational background, an associate's degree can substitute for 2 years, while higher degrees can provide more leeway. Additionally, strong expertise in Python, data mining, and excellent communication skills are critical for success in this role.

ManTech supports its GEOINT Data Scientists by providing robust training programs and opportunities for growth. As a data scientist, you will also have access to mentorship from seasoned professionals and the chance to participate in informative briefings, enabling you to refine your skills and share your knowledge with peers.

Essential technical skills for a GEOINT Data Scientist at ManTech include proficiency in Python, data mining techniques, and a thorough understanding of databases and GIS principles. Additionally, skills in data visualization, statistical analysis, and network analysis techniques will significantly enhance your performance in this role.

Yes, an active TS/SCI security clearance is required for the GEOINT Data Scientist position at ManTech. Candidates must demonstrate the ability to obtain and maintain a polygraph, reflecting the sensitive nature of the work in geospatial intelligence.

In answering this question, you should detail specific projects or roles where you've dealt with geospatial data. Highlight how you utilized GIS principles and analytical techniques to generate insights or solve problems within the context of GEOINT.

A strong response would include specific tools you are familiar with, such as programming languages like Python, along with any relevant libraries or platforms. Be sure to mention how you've applied these tools in real-world scenarios.

Discuss your approach to quality control, including processes you follow for data validation and verification. Emphasize your use of statistical methods and rigor in checking your findings.

Here, provide an example from your experience where you simplified complex data into understandable formats, such as visualizations or clear narratives, emphasizing the importance of communication in your role as a GEOINT Data Scientist.

Explain your methodology for creating tradecraft techniques by discussing your analytical processes, collaboration with peers, and how you stay current with industry best practices.

Sharing a challenging project will allow you to showcase your problem-solving skills. Focus on the difficulties faced, the techniques used to overcome them, and the successful outcome of your efforts.

Discuss your time management skills and tools you employ to prioritize tasks effectively. Give examples of how you've balanced multiple projects to meet deadlines within a fast-paced environment.

Emphasize the importance of collaboration in your job. Provide examples of how you’ve worked with teams, shared insights, and contributed to collective goals in a multidisciplinary setup.

Detail your methods for staying informed, such as participating in professional organizations, attending relevant conferences, and engaging with online communities focused on GEOINT.

Provide insights into various data visualization techniques you've successfully employed, explaining why and how they've been effective in communicating your findings to various stakeholders.