Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
TO
Technology On Time, Inc
Senior Exploitation Specialist (Data Scientist)
Career Insights for Data Scientist
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Missouri data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$104,467 / year median in Missouri
+13% projected growth
Job Description
Senior Exploitation Specialist (Data Scientist) Technology On Time, Inc St. Louis, MO Job Details Full-time $125,000.33 - $200,000.00 a year 22 hours ago Benefits Health insurance Dental insurance 401(k) Paid time off Vision insurance Life insurance Retirement plan Qualifications Top Secret Clearance Data visualization software proficiency TS/SCI Trend analysis Programming languages Investigative data analysis Analysis skills Scalability Managing projects Data visualization Data visualization projects Intelligence community Full Job Description Senior Exploitation Specialist/Data Scientist—1 position - NGA STL (N2W) This role is for a Senior Exploitation Specialist- Data Scientist and must have: Active TS/SCI Clearance is required with the ability to obtain a CI Poly. They must have a background with intelligence experience, where they provided analysis and/or data science directly supporting an intelligence mission . They must be able to operate at a senior level and in an independent environment. They must be proficient at creating processes around large data sets to identify analytical discoveries, Demonstrated proficiency in designing and implementing scalable processes for large and complex datasets to identify trends, insights, and analytical discoveries. They must be able to script at a Senior Level in python. (Other languages, low/code-no/code programs (JEMA, Brewlytics, ArcModel Builder), etc. are great but they must have Python.) Must be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations. They must be able to operate in high tempo environment and be able to develop and manage multiple projects and solutions at one time in various stages of implementation. Familiarity with common Intelligence Community (IC) data repositories.