Data Scientist (Open Continuous)

Intelligence Careers; Missouri; On-site; USD 90,000 - 140,000; Full time

Job summary

Intelligence Careers is seeking a Data Scientist to translate complex national defense and business questions into actionable insights using advanced mathematical, statistical, and scientific techniques. You will develop and apply methods such as probabilistic modeling, AI/ML, and data visualization to identify, collect, process, and analyze large data volumes.

The role requires strong communication skills to explain technical results to non-technical audiences and the ability to collaborate

Qualifications

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

Skills

Data analysis

Big data

Python/R/SQL

Communication of methods

Education

Bachelor's degree in a related field

Tools

Tableau

Matplotlib

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:

• 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:

• 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.)