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Entry Level Nsa Data Science Jobs (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

For entry level Job seekers to get client interviews and jobs they need to differentiate themselves ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

Entry Level Data Architect (Remote)

Mesquite, TX · On-site

$58 - $74.50/hr

... 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 ...

Entry Level Data Architect (Remote)

$65.25 - $84/hr

... 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 ...

Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent graduates in ... or entry-level positions. Hands-on project work at client sites and additional skills are key to ...

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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.

Other

Posted 18 days ago


Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3