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Weekend Computer Science Environmental Jobs in Huntsville, AL

Enjoy a fast-paced work environment. * Love working with diverse groups of individuals, including ... Minimum 4โ€‘year degree in Computer Science, Statistics, Mathematics, Data Science, Computer ...

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 ... Experience with multi-INT analytics Additional Information Work Environment * Office setting with a ...

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 ... Experience with multi-INT analytics Additional Information Work Environment * Office setting with a ...

A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ... And it's why we're committed to creating an environment that's truly supportive, providing you with ...

Here, we foster an environment where everyone-employees, clients, and partners alike-are treated ... Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Enjoy a fast-paced work environment. * Love working with diverse groups of individuals, including ... Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer ...

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ... Additional Information Work Environment * Office setting with a combination of desk work and ...

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ... Additional Information Work Environment * Office setting with a combination of desk work and ...

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ... Additional Information Work Environment * Office setting with a combination of desk work and ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Enjoy a fast-paced work environment. Love working with diverse groups of individuals, including ... Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a ... in an environment where the problem is vague, requirements are lacking, and a solution is not ...

Showing results 41-60

Weekend Computer Science Environmental information

What is the difference between Weekend Computer Science Environmental vs Weekend Data Analyst?

AspectWeekend Computer Science EnvironmentalWeekend Data Analyst
Required CredentialsRelevant computer science or environmental certifications, degreesData analysis certifications, degrees in statistics or related fields
Work EnvironmentOutdoor or lab settings for environmental work; computer labs for CSOffice or remote settings, analyzing data on computers
Employer & Industry UsageEnvironmental agencies, tech companies with environmental projectsBusinesses, research firms, government agencies analyzing data
Common Search & ComparisonOften compared for weekend or part-time roles involving tech or environmentCompared for data analysis roles, but less so with environmental focus

The comparison between Weekend Computer Science Environmental and Weekend Data Analyst highlights differences mainly in work environment and certifications. While both roles involve computer skills, the environmental role emphasizes outdoor or lab work, whereas data analysts focus on office-based data processing. Understanding these distinctions helps job seekers choose roles aligned with their skills and interests.

What are the most commonly searched types of Computer Science Environmental jobs in Huntsville, AL?

The most popular types of Computer Science Environmental jobs in Huntsville, AL are:

Infographic showing various Weekend Computer Science Environmental job openings in Huntsville, AL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

Senior Data Scientist

Huntsville, AL โ€ข On-site

Full-time

Medical, Dental, Vision

Posted 13 days ago


Job description

Senior Data Scientist

Capstone Research Corporation is seeking to expand our team. We are a customer-oriented engineering services company providing world-class research and development support to the Department of War (DoW) including the Army, Navy, Air Force, Marines, Missile Defense Agency, and the Office of the Secretary of War. We pride ourselves on providing high-level engineering in a customer-oriented, ethical approach. Capstone offers 100% Company Provided Medical, Dental, and Vision Insurance as part of our top-notch benefits package.

We have an immediate opening for a Senior Data Scientist in our Huntsville, AL office to support the development of next-generation defense capabilities through mission-focused operational analysis, technical studies, and solution architecture. Working closely with Department of War (DoW) customers, the successful candidate will analyze complex multi-domain operational challenges, develop innovative concepts and requirements, and evaluate mission-level solutions that improve command and control, integrated fires, and decision superiority across joint and coalition operations.

Key Responsibilities:

  • Develop and maintain scalable RAG pipelines that integrate vector search, retrieval systems, and cyber domainspecific information sources.
  • Ensure models can process large volumes of logs, indicators of compromise (IOCs), and behavioral telemetry to predict emerging cyber risks.
  • Continuously refine embeddings, indexing strategies, and retrieval mechanisms for accuracy, latency, and completeness.
  • Design, develop, and execute cyber analysis and assessment plans, procedures, and analytical methodologies for DoW programs.
  • Develop automated analysis tools using MATLAB, Python, and related scripting languages to process, analyze, and visualize large volumes of cyber and system performance data.
  • Develop metrics, dashboards, and reports that communicate test results, operational effectiveness, and technical findings to government stakeholders.
  • Analyze system logs, network traffic, telemetry, and sensor data to identify trends, anomalies, and indicators of cyber threats.
  • Collaborate with software developers, systems engineers, cyber engineers, and government customers to define developmental assessment objectives and validate system performance.
  • Support modeling, simulation, and analytical activities to assess cyber impacts on mission effectiveness.
  • Prepare technical documentation including test plans, procedures, analysis reports, briefings, and recommendations.
  • Participate in design reviews, technical interchange meetings, and customer briefings.
  • Support continuous improvement of cyber testing methodologies, automation frameworks, and analytical capabilities.

Qualifications:

  • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, Data Science, Systems Engineering, or a related technical discipline.
    • Equivalent combinations of education, military experience, and directly relevant professional experience will be considered.
  • Minimum 5 years of professional experience supporting AI development, cyber testing, cybersecurity analysis, systems analysis, software testing, or related DoW technical programs.
  • Demonstrated proficiency with data analysis, algorithm development, or engineering analysis.
  • Programming experience using for automation, scripting, data processing, and analytical tool development.
  • Experience working with relational databases and SQL, including data extraction, manipulation, and reporting.
  • Strong understanding of statistical analysis, quantitative methods, and analytical techniques.
  • Experience analyzing large datasets and presenting technical findings using charts, visualizations, and technical reports.
  • Familiarity with cyber assessment methodologies, cybersecurity principles, and network architectures.
  • Experience working in Linux and Windows environments.
  • Strong written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences.
  • Ability to work independently while contributing effectively within multidisciplinary engineering teams.
  • Active Secret security clearance.

Desired Qualifications:

  • TS/SCI security clearance or current SCI eligibility.
  • Master's degree in Cybersecurity, Computer Science, Data Analytics, Systems Engineering, or a related field.
  • Experience supporting Missile Defense Agency (MDA), Army, Navy, Air Force, Space Force, or other Department of War cyber programs.
  • Experience supporting cyber test ranges, cyber exercises, or operational test events.
  • Familiarity with offensive and defensive cyber operations concepts.
  • Experience with packet analysis and Security Information and Event Management (SIEM) tools.
  • Experience using cybersecurity frameworks including MITRE ATT&CK, NIST Cybersecurity Framework, RMF, or DoW cyber standards.
  • Experience with databases such as SQL Server, MySQL, or Oracle.
  • Knowledge of cloud computing environments and container technologies (Docker, Kubernetes).
  • Experience using version control systems such as Git.
  • Familiarity with machine learning, artificial intelligence, or advanced statistical modeling techniques.
  • Professional certifications such as Security+, CySA+, CISSP, CEH, GIAC, GSEC, or related cybersecurity certifications.
  • Experience supporting Agile software development and DevSecOps environments.