Data Scientist 3 (FST - 140)

Posted 2 Days Ago
Be an Early Applicant
Annapolis Junction, MD, USA
In-Office
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Analytics
The Role
Designs and implements machine learning models, data-mining methods, advanced analytical algorithms, statistical analyses, artificial intelligence solutions, and data-analysis software. The role requires extensive experience developing descriptive, predictive, and prescriptive analytics, analyzing datasets, and performing software or cloud development. An active TS/SCI clearance with polygraph is required, along with a quantitative degree or qualifying equivalent experience.
Summary Generated by Built In

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.  

Active TS/SCI w/ Polygraph required.

Required Experience:

Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. 

OR
A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

Skills Required

  • Bachelor’s degree or higher from an accredited college or university in a quantitative discipline such as statistics, mathematics, operations research, engineering, or computer science
  • At least 10 years of experience in two or more areas including machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering using data-analysis software
  • Experience with data-analysis software such as R, Python, SAS, or MATLAB
  • Active TS/SCI clearance with polygraph
  • A bachelor’s degree may be substituted with an additional four years of experience in software development, cloud development, dataset analysis, or descriptive, predictive, and prescriptive analytics
  • A master’s degree in a quantitative discipline may substitute for two years of experience, requiring eight total years of experience
  • A doctoral degree in a quantitative discipline may substitute for four years of experience, requiring six total years of experience
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The Company
38 Employees
Year Founded: 2015

What We Do

SageCor Solutions is a Maryland-area engineering firm serving Intelligence Community and Department of Defense customers. Founded to support high-performance computing missions, it now delivers full-lifecycle systems engineering, high-performance data analytics, artificial intelligence and machine learning, cloud architecture, software and hardware design, cybersecurity, testing, and technical advisory services. Its mission is to solve complex national-security technology challenges through specialized engineering expertise.

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