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Law Enforcement Computer Science Jobs in Virginia

Unissant

Senior Data Scientist

Herndon, VA · On-site

$135K - $197K/yr

... ICE), Law Enforcement Systems and Analysis (LESA) program within the Strategy and Operations ... Computer Science, Data Science, Statistics, Mathematics, Operations Research, or related discipline.

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

$145K - $160K/yr

Employs mathematics, statics, information science, artificial intelligence, machine learning ... local law. Many of our job openings require access to government buildings or military ...

Virginia Department of Human Resource Management

$42K - $57K/yr

Public Safety, Applied Sciences and Natural Resources Title: Park Ranger - Public Safety and Law Enforcement - Wilderness Road State Park State Role Title: Natural Resource Spec II Hiring Range: $42 ...

State of Virginia

$42K - $57K/yr

Public Safety, Applied Sciences and Natural Resources Title: Park Ranger - Public Safety and Law Enforcement - Wilderness Road State Park State Role Title: Natural Resource Spec II Hiring Range: $42 ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ... Familiarity with law enforcement, regulatory, or compliance-focused analytics environments ...

Guidehouse

AI/ML Data Scientist

Arlington, VA

A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ... Familiarity with law enforcement, regulatory, or compliance-focused analytics environments ...

REDLattice

Forensic Software Engineer

Quantico, VA

Analyze digital evidence and artifacts in support of law enforcement and national security missions ... S.) degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering ...

REDLattice

Forensic Software Engineer

Quantico, VA · On-site

Bachelor's (B.S.) degree in Computer Science, Computer Engineering, Software Engineering ... Experience supporting law enforcement, Department of Defense, or Intelligence Community missions.

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All JobsLaw Enforcement Computer Science JobsLaw Enforcement Computer Science Jobs in Virginia

Law Enforcement Computer Science information

See Virginia salary details

$35.2K

$88.1K

$135.3K

How much do law enforcement computer science jobs pay per year?

As of Jul 19, 2026, the average yearly pay for law enforcement computer science in Virginia is $88,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $97,700.00 per year, depending on experience, location, and employer.

Does the FBI hire computer science majors?

Yes, the FBI hires computer science majors for roles such as Cyber Special Agents and Cyber Analysts, which involve cybersecurity, digital forensics, and information technology. Candidates typically need relevant degrees, security clearances, and technical skills in programming, networking, and systems analysis.

What is law enforcement computer science?

Law enforcement computer science is a specialized field that combines principles of computer science with law enforcement practices. Professionals in this area use technology to investigate cybercrimes, analyze digital evidence, and develop software tools to support policing activities. They may work on tasks such as digital forensics, cybersecurity, crime data analysis, and the development of crime-fighting technologies. This field plays a critical role in modern policing by helping agencies prevent, detect, and solve crimes involving digital devices and networks.

What actor was a cop in real life?

One notable actor who was a real-life police officer is Fred Williamson, who served as a police officer before becoming an actor. Such individuals often bring authentic experience to law enforcement roles in film and television, which can enhance their performances. However, most actors portraying police officers do not have law enforcement backgrounds unless specifically noted.

How does a Law Enforcement Computer Science professional typically collaborate with investigative teams during a cybercrime case?

Law Enforcement Computer Science professionals work closely with investigative teams by analyzing digital evidence, tracing cybercriminal activities, and translating technical findings into actionable insights for detectives and prosecutors. They often participate in case briefings, help develop strategies for collecting electronic evidence, and provide expert testimony when needed. This collaborative environment requires strong communication skills and the ability to explain complex technical concepts to non-technical team members, ensuring seamless integration of digital investigations into broader law enforcement operations.

What is the difference between Law Enforcement Computer Science vs Cybersecurity Analyst?

AspectLaw Enforcement Computer ScienceCybersecurity Analyst
Required CredentialsComputer science degree, law enforcement training, certifications like CISSP or CEHComputer science or cybersecurity degree, certifications like CISSP, CEH, or CompTIA Security+
Work EnvironmentLaw enforcement agencies, government offices, field operationsCorporate offices, security firms, government agencies
Employer & IndustryLaw enforcement agencies, government sectorsPrivate companies, cybersecurity firms, government agencies
Common Search & ComparisonYesYes

Law Enforcement Computer Science professionals focus on applying computer science skills within law enforcement settings, often involving digital forensics and investigations. Cybersecurity Analysts primarily work to protect organizational systems from cyber threats. While both roles require similar technical credentials and certifications, their work environments and objectives differ significantly, with law enforcement roles emphasizing investigative work and cybersecurity roles focusing on threat prevention and security management.

Can I be a police officer with a computer science degree?

A computer science degree can be valuable for law enforcement roles that involve cybercrime investigation, digital forensics, or cybersecurity. However, becoming a police officer typically requires meeting specific law enforcement training and certification requirements, which vary by jurisdiction, regardless of educational background. Combining a computer science degree with law enforcement training can enhance career opportunities in specialized units.

Is 27 too late to become a cop?

Law enforcement careers often accept applicants in their late 20s, and 27 is generally not too late to become a police officer. Many departments value maturity and life experience, and candidates typically need to meet minimum age requirements, which are often 18 or 21, depending on the jurisdiction. Completing required training and passing background checks are essential steps regardless of age.

What are the key skills and qualifications needed to thrive as a Law Enforcement Computer Science professional, and why are they important?

To thrive as a Law Enforcement Computer Science professional, you need a solid background in computer science, cybersecurity principles, and digital forensics, often supported by a relevant degree or certifications such as CISSP or CompTIA Security+. Familiarity with forensic analysis tools, network monitoring systems, and evidence management software is typically required. Strong analytical thinking, attention to detail, and effective communication help professionals excel in investigations and collaboration with diverse teams. These skills and qualities are crucial for ensuring the integrity of digital evidence and supporting successful law enforcement operations in increasingly technology-driven environments.
What are popular job titles related to Law Enforcement Computer Science jobs in Virginia? For Law Enforcement Computer Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Law Enforcement Computer Science jobs in Virginia look for? The top searched job categories for Law Enforcement Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Law Enforcement Computer Science jobs? Cities in Virginia with the most Law Enforcement Computer Science job openings:
Law Enforcement Computer Science jobs near you
Senior Data Scientist

Senior Data Scientist

Unissant

Herndon, VA • On-site

$135K - $197K/yr

Full-time

Posted 18 days ago

Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at .
We are seeking a Senior Data Scientist to join our team in Washington, DC, in support of the Department of Homeland Security (DHS), Immigration and Customs Enforcement (ICE), Law Enforcement Systems and Analysis (LESA) program within the Strategy and Operations Analysis (SOA) Unit.
The SOA Unit provides advanced analytics, visualization, and modeling capabilities spanning the entire Enforcement Lifecycle to inform ERO and ICE strategic and budgetary decision-making. SOA utilizes predictive analytics, simulation, and optimization modeling to forecast resource needs, support congressional responses, and drive organizational planning at headquarters and field levels. The ideal candidate is a recognized data science leader with deep expertise in advanced ML, MLOps, operations research, and data architecture, and the ability to serve as the senior analytical voice for the SOA Unit.
Essential Duties and Responsibilities:
  • Serve as the senior technical lead for the SOA analytical program: architecting, developing, and operationalizing advanced machine learning solutions including deep learning (CNNs, RNNs, Transformers), ensemble methods, and AI-driven decision-making tools for resource allocation and prioritization problems.
  • Conceptualize, plan, design, and develop deep learning/AI algorithms for multi-objective optimization focused on ERO resource allocation, logistics, and enforcement prioritization.
  • Lead MLOps activities including model versioning (MLflow, DVC), performance monitoring, drift detection, CI/CD pipelines, and retraining workflows in production environments.
  • Prepare models for official DHS accreditation, producing documentation covering model design, methodology, requirements, decision-making use, analysis of alternatives, and stakeholder engagement.
  • Lead development, maintenance, and governance of LESA's suite of Discrete Event Simulation (DES) models; promote interoperability of products with other LESA DES models to enhance forecasting and decision-making.
  • Collaborate with data architects and enterprise architects to define scalable data architecture standards supporting analytical and AI/ML workloads; evaluate infrastructure improvements for AI/ML scalability and performance.
  • Identify gaps for LESA decision support tool development: opportunities to collect new data, improve data quality, and improve forecasting methodologies, reporting, and scenario planning capabilities.
  • Maintain and improve geospatial capabilities and Logistics Optimization Decision Support Tools; evaluate emerging AI, modeling, and BI platforms (Python, Qlik, Tableau, ArcGIS, Databricks, Palantir Foundry).
  • Develop executive-level summary reports and briefings of algorithm results using RMarkdown, Jupyter Notebook, MS PowerPoint, and MS Word for ERO/ICE senior leadership.
  • Rapidly deploy to support special projects: academic research, proof of concepts, congressional inquiry responses, policy change analysis, and ERO strategic logistics initiatives.
  • Provide technical leadership and mentorship to junior and mid-level data scientists; conduct code reviews, methodology reviews, and knowledge-sharing sessions.

Work Experience and Job Skills:
  • 10+ years of experience in data science, machine learning, or applied AI research, with significant experience supporting federal law enforcement, DHS/ICE/ERO, or national security missions.
  • Expert proficiency in advanced ML and AI: deep learning (TensorFlow, PyTorch, Keras), ensemble methods (XGBoost, Random Forest), Bayesian methods, and multi-objective optimization algorithms.
  • Demonstrated experience implementing: R libraries (h2o, Keras, mlr) and Python libraries (TensorFlow, PyTorch, mpi4py, scikit-learn); experience with MCA, PCA, and association rule mining.
  • Demonstrated MLOps experience: model versioning, monitoring, CI/CD for ML, and deployment in High-Performance Computing (HPC) and cloud environments.
  • Experience with DES modeling, operations research, and logistics optimization.
  • Deep expertise in data architecture collaboration: designing data pipelines, warehouses, and infrastructure to support large-scale ML workloads.
  • Proficiency with geospatial tools (ArcGIS, GIS platforms) and BI tools (Qlik, Tableau, Power BI, Databricks, Palantir Foundry).
  • Proven technical leadership; ability to produce executive-level deliverables using RMarkdown, Jupyter Notebook, MS Access, MS Excel, MS PowerPoint, and MS Word.

Education:
  • Bachelor's Degree required. Preferred fields: Computer Science, Data Science, Statistics, Mathematics, Operations Research, or related discipline.
  • Master's Degree or PhD in quantitative discipline (Data Science, Machine Learning, Applied Mathematics, Operations Research) strongly preferred.

Certificates, Licenses and Registrations:
  • Advanced ML/AI certifications (AWS ML Specialty, Google Professional ML Engineer, Azure AI Engineer) strongly preferred.
  • MLOps, Databricks, or HPC certifications are a plus.

Communication Skills:
  • Excellent verbal and written skills; experienced presenting complex analytical findings to senior federal leadership and non-technical audiences.
  • Ability to produce reports and briefings consistent with FOUO/LES confidentiality standards.

Clearance Requirements:
  • Active ICE clearance required; preference for candidates currently cleared or cleared within the last two years.
  • Ability to obtain and maintain required clearance level is a condition of employment.

Travel:
  • Minimal travel expected.
  • On-site in Washington, D.C. Metropolitan area.

Environmental Requirements:
  • Mainly a routine office environment.
  • May be required to lift up to ten (10) pounds.
  • Flexible in working extended hours.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.
Please note: Candidate(s) will be required to go through pre-employment screening.
Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

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