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Entry Level Nsa Data Science Jobs (NOW HIRING)

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist - NYC

Boston, MA ยท On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

... entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data ... Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make ...

Associate Data Scientist

Morgantown, WV ยท On-site

$60K - $61K/yr

... science and statistical skills, contributes to data pipelines and exploratory analysis, and helps translate healthcare data into meaningful insights. This is an entry-level to early-career role for ...

$60K - $61K/yr

... science and statistical skills, contributes to data pipelines and exploratory analysis, and helps translate healthcare data into meaningful insights. This is an entry-level to early-career role for ...

... entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ...

Data Engineer (Entry Level)

Greensboro, NC ยท On-site

$99K - $118K/yr

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

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Entry Level Nsa Data Science information

What is the difference between Entry Level Nsa Data Science vs Entry Level Nsa Data Analysis?

AspectEntry Level Nsa Data ScienceEntry Level Nsa Data Analysis
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles may prefer certifications in data analysis or programmingBachelor's in Data Analysis, Statistics, or related field; certifications like Excel, SQL, or Tableau are common
Work EnvironmentCollaborative teams, research-focused, often in tech or government agenciesOperational settings, reporting, and visualization tasks within government or tech sectors
Employer & Industry UsageNSA, government agencies, tech companiesNSA, government agencies, intelligence sectors

Entry Level NSA Data Science roles focus on developing models and algorithms to interpret complex data, requiring programming and statistical skills. Entry Level NSA Data Analysis positions emphasize data interpretation, reporting, and visualization. Both roles are vital in government and tech sectors but differ mainly in technical depth and scope.

More about Entry Level Nsa Data Science jobs
What are the most commonly searched types of Nsa Data Science jobs? The most popular types of Nsa Data Science jobs are:
Infographic showing various Entry Level Nsa Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Scientist III with Security Clearance

Black Eagle Defense

Fort George G Meade, MD โ€ข On-site

$128K - $185K/yr

Other

Posted 20 days ago


Job description

Job Description SALARY RANGE $128,000 - $185,000/year DUTIES As a successful candidate for the Data Scientist III role, you will 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. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings.

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing 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 NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Required Skills SKILLS Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) II. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) III.

Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) QUALIFICATIONS A Bachelor's Degree with 10 years of relevant experience or an Associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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 requirements, or upper-level math courses designated as elementary or basic do not count.

A broader range of degrees will be considered if accompanied 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 than three areas is strongly preferred.

Additional Requirements: โ€ข Accurately and automatically tokenize language data with spoken or written origins โ€ข Develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text โ€ข Demonstrated NLP experience