Data Scientist (Open Continuous)

US National Geospatial-Intelligence Agency; Jefferson Barracks (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

US National Geospatial-Intelligence Agency seeks Data Scientists to translate complex defense and intelligence questions into actionable insights. You will apply probabilistic modeling, AI/ML, and computer vision to large data volumes, developing methods and visualizations to inform strategic and operational decisions.

Strong emphasis on exploring structured and unstructured data, cleaning and transforming data, and communicating results to non-technical stakeholders.

Qualifications

• Experience using structured or unstructured data for exploratory data analysis, classification, regression, or other statistical analyses.
• Experience analyzing, interpreting, and reporting on large data sets.
• Experience cleaning, filtering, transforming, and enriching data.
• Proficiency with Python, R, SQL or similar programming languages.

Responsibilities

• Translate complex national defense and intelligence questions into actionable insights using advanced statistical techniques.
• Develop and apply methods (probabilistic modeling, AI/ML, CV) to identify, collect, process, and analyze large volumes of data.
• Explain results and findings to stakeholders and support decision-making.

Skills

Exploratory data analysis

Big data analysis

Data cleaning & transforming

Python / R / SQL

Data visualization

Education

Bachelor's degree in Mathematics / Data Science / Statistics / CS

Tools

Tableau

Job description

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 (e.g., probabilistic modeling, artificial intelligence/machine learning (AI/ML), computer vision (CV)) to identify, collect, process, and analyze large volumes of data to info

MANDATORY QUALIFICATION CRITERIA

For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:

• Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis.
• Experience analyzing, interpreting, and reporting on big data sets.
• Demonstrated experience cleaning, filtering, transforming, and/or enriching data.
• Demonstrated experience manipulating data using a programing language such as: Python, R, SQL or similar.

EDUCATION REQUIREMENT

A. Education: 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 that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences. Statistics semester hours should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. -OR- B. Combination of Education and Experience: A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.

DESIRABLE QUALIFICATION CRITERIA

In addition to the mandatory qualifications, experience in the following is desired:

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