Data Scientist (Open Continuous)

National Geospatial-Intelligence Agency • Saint Louis, MO

13h

About The Position

Data Scientists translate complex national defense and intelligence questions and business problems into actionable insights using advanced mathematical, statistical, and scientific techniques. They develop and apply methods such as probabilistic modeling, artificial intelligence and machine learning (AI/ML), and computer vision (CV) to identify, collect, process, and analyze large volumes of data.

This open continuous announcement builds a pool of qualified applicants; there is no immediate opening. Applications will be reviewed as staffing needs arise, with multiple selections and placements across the agency. Work may involve analytic operations supporting GEOINT mission partners, including analysis of imagery holdings, machine-learning outputs, computer-vision results, and other GEOINT mission datasets. Data Scientists work on teams with analysts and other data professionals. Office missions may include business analytics, model development, and GEOINT mission and data. Duties range from analyzing data across different systems to modeling GEOINT mission data, working with mission partners on data needs, developing complex solutions across deployed systems, and integrating new data into existing workflows.

The position may be eligible for a recruitment incentive. Any incentive is subject to eligibility requirements and a service agreement; repayment of a prorated amount may be required if the agreement ends early. The position is in the Defense Civilian Intelligence Personnel System (DCIPS), in the Excepted Service. Employees are assigned to pay bands, and base salary is established based on qualifications. Annual performance evaluations factor into the performance pay process, which may result in a base-pay increase and/or bonus.

Employment requires U.S. citizenship and the ability to obtain and retain a Top Secret clearance with SCI access, including a Counterintelligence Polygraph examination. Drug testing, direct deposit, a trial period, and other NGA fitness-for-employment standards apply. Employees with SCI access under NGA cognizance must submit an annual Security Financial Disclosure Report (SF-714).

Requirements

• U.S. citizenship is required.
• Must be able to obtain and retain a Top Secret security clearance with access to SCI.
• Must undergo a Counterintelligence Polygraph examination; drug testing is required.
• Demonstrated experience using structured or unstructured data for exploratory data analysis, classification, regression, or other statistical analysis.
• Experience analyzing, interpreting, and reporting on large data sets.
• Demonstrated experience cleaning, filtering, transforming, or enriching data.
• Demonstrated experience manipulating data using a programming language such as Python, R, SQL, or similar.
• A bachelor's degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field with at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework; alternatively, a qualifying combination of education and experience is acceptable.
• For the education-and-experience alternative: at least 30 semester hours (45 quarter hours) equivalent to a major in a listed field, plus data-science programming experience and a full range of professional statistical work; the combined education and experience must total 4 years.
• Must meet NGA fitness-for-employment standards, comply with applicable security requirements, and complete a trial period.
• Employees with SCI access under NGA cognizance must submit an annual Security Financial Disclosure Report (SF-714).

Nice To Haves

• Ability to communicate technical methods and solutions verbally or in writing to non-technical audiences.
• Experience collaborating with experts in other fields to analyze and respond to customer requirements.
• Experience applying analytic techniques such as classification, regression, clustering, data reduction, or causal modeling to solve data problems.
• Expertise with one or more visualization techniques or software tools, such as Tableau or matplotlib.

Responsibilities

• Translate complex national defense, intelligence, and business problems into actionable insights using mathematical, statistical, and scientific methods.
• Develop and apply probabilistic modeling, AI/ML, computer vision, and other analytical methods.
• Identify, collect, process, and analyze large volumes of data.
• Analyze data across different systems and model GEOINT mission data.
• Work on teams integrated with analysts and other data professionals.
• Work with mission partners to address their data needs.
• Develop solutions across deployed systems and integrate new data into existing workflows.
• Analyze GEOINT datasets, including imagery holdings, machine-learning outputs, and computer-vision results.

What This Job Offers

• Job Type: Full-time