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Data Science Government Jobs in Alabama (NOW HIRING)

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible ... Serving federal, state, & local government clients as well as public higher education institutions ...

Via Logic LLC

Data Scientist

Huntsville, AL · On-site

Support test planning with the OEM and Government Test Agencies to include ATEC and its ... Bachelor's degree in a relevant field such as data science, computer science, engineering.

Starfish

Data Analyst/Data Scientist

Huntsville, AL

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related ... government engineering and test programs. * Proficiency with Tableau or comparable business ...

VTG

Intelligence Analyst 1

Huntsville, AL

Exploit data from specific sources and raw intelligence, and compile them to validate intelligence ... Political Science, Government Affairs or International Affairs preferred but not required OR four ...

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$41.7K

$149.6K

$220.7K

How much do data science government jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science government in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a data scientist in government?

A data scientist in government applies statistical analysis, machine learning, and data visualization techniques to solve public sector challenges. They work with large datasets from various sources, such as census records, public health data, and transportation systems, to extract insights that inform policy decisions and improve public services. Their work can include predictive modeling, program evaluation, and developing tools for transparency and accountability. Government data scientists often collaborate with policymakers, IT professionals, and researchers to ensure data-driven decision-making. This role is crucial for making government operations more efficient and responsive to the needs of citizens.

What are the key skills and qualifications needed to thrive as a data scientist in government?

To thrive as a Data Scientist in government, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and government-specific data platforms, as well as relevant certifications like Certified Analytics Professional, is highly valued. Excellent communication, problem-solving, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These skills ensure that data-driven decisions effectively support public policy, enhance services, and address societal challenges.

How does collaboration typically work between data scientists and policy teams in government settings?

In government settings, data scientists often work closely with policy teams to translate complex data insights into actionable policy recommendations. Collaboration usually involves regular meetings to align on project goals, clarify data needs, and discuss findings. Data scientists help interpret analytical results in the context of policy objectives, while policy teams provide guidance on legislative priorities and practical constraints. This cross-functional teamwork ensures that data-driven solutions are both technically sound and aligned with public interest.

Do data science government professionals work for the government?

Yes, data science professionals working in government roles are employed by government agencies or departments. They analyze data to support policy making, public services, and operational efficiency, often using tools like Python, R, and SQL. These roles typically require security clearances and knowledge of public sector regulations.

What are popular job titles related to Data Science Government jobs in Alabama?

For Data Science Government jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Science Government jobs in Alabama look for?

The top searched job categories for Data Science Government jobs in Alabama are:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $149,570 per year, or $71.9 per hour.

Data Scientist

Huntsville, AL • On-site

Capstone Research Corporation
See more jobs at Capstone Research Corporationexternal

Full-time

Medical, Dental, Retirement

Posted 9 days ago

Job description

Data Scientist
Capstone Research Corporation is seeking to expand our team. Capstone Research Corporation is headquartered in Huntsville Alabama. We are a customer-oriented engineering services company providing world class research and development support across the Department of Defense (DoD): Army, Navy, Air Force, Marines, and Missile Defense Agency (MDA). Capstone offers 100% Company Provided Medical and Dental Insurance, Matching 401K, and Profit Sharing as part of our top-notch benefits package. Compensation for this position will be determined, but not limited to, factors such as responsibilities of the job, education, experience, knowledge, skills, abilities, alignment with market data, and internal equity.
We have an immediate opening for an 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 domain-specific 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 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 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.

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