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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 (AI), Data Science, and Software Engineering services for the U.S. Government. They are seeking a Data Scientist Level II who will employ mathematical, statistical, and computational skills to extract value from large datasets and effectively communicate findings to non-technical audiences.

Cloud Data ServicesCyber SecurityInformation TechnologyNetwork SecuritySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Devise strategies for extracting meaning and value from large datasets

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure

Translate practical mission needs and analytic questions related to large datasets into technical requirements

Assist others with drawing appropriate conclusions from the analysis of such data

Effectively communicate complex technical information to non-technical audiences

Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting collection, processing, storage and analytic capabilities and limitations

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 datasets

Qualification

Machine LearningStatistical AnalysisData ManagementData ModelingNatural Language ProcessingPythonCommunication SkillsProblem Solving

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)

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