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Nyla Technology Solutions · 3 months ago

Data Scientist Level II

Annapolis Junction, MD

Full-time

Onsite

Mid Level

$116K/yr - $137K/yr

3+ years exp

Nyla Technology Solutions delivers exceptional Artificial Intelligence, Data Science, and Software Engineering services for the U.S. Government. They are seeking a Data Scientist Level II who will devise strategies for extracting meaning and value from large datasets and communicate complex technical information to non-technical audiences.

Cloud Data ServicesCyber SecurityInformation TechnologyNetwork SecuritySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Evaluate and help enhance content analytics for machine translation systems using modems methods

Evaluate Natural Language Processing software to see which works best on customer datasets

Qualification

Machine LearningStatistical AnalysisData ManagementData ModelingNatural Language ProcessingProgramming (Python)Communication SkillsSelf-starter

Required

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

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 accompanies by a Certificate in Data Science from an accredited college/university

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 that one area is strongly preferred