The Kenjya-Trusant Group LLC
(VV) Data Scientist - Level 2 (TS/SCI w/Poly) Annapolis Junction, MD
The Kenjya-Trusant Group LLC, Baltimore, Maryland, United States,
The Kenjya-Trusant Group, LLC is seeking a Data Scientist - Level 2 to support a client contract in the Annapolis Junction, MD area.
SECURITY REQUIREMENT: TS/SCI w/Polygraph
Qualifications:Citizenship: Due to the nature of this position and the information employees will be required to access, U.S. Citizenship is required.Job Description
Evaluate and help enhance content analytics for machine translation systems using modern methods.Evaluate Natural Language Processing software to see which works best on customer needs.
Experience
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.Experience in more than one area is strongly preferred.
Education
A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence).College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
#J-18808-Ljbffr
SECURITY REQUIREMENT: TS/SCI w/Polygraph
Qualifications:Citizenship: Due to the nature of this position and the information employees will be required to access, U.S. Citizenship is required.Job Description
Evaluate and help enhance content analytics for machine translation systems using modern methods.Evaluate Natural Language Processing software to see which works best on customer needs.
Experience
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.Experience in more than one area is strongly preferred.
Education
A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence).College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
#J-18808-Ljbffr