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Law Enforcement Computer Science Jobs (NOW HIRING)

ACCEL Schools

Computer Science Teacher

Columbus, OH

$43K - $51K/yr

The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $43,000 - $51,000 ...

ACCEL Schools

Computer Science Teacher

Cincinnati, OH

$43K - $51K/yr

The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $43,000 - $51,000 ...

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Law Enforcement Computer Science information

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$35.5K

$88.8K

$136.5K

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

As of Aug 16, 2026, the average yearly pay for law enforcement computer science in the United States is $88,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $98,500.00 per year, depending on experience, location, and employer.

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.

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.

What are the key skills and qualifications needed to thrive as a law enforcement computer science professional?

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.
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What cities are hiring for Law Enforcement Computer Science jobs?

Cities with the most Law Enforcement Computer Science job openings:

What states have the most Law Enforcement Computer Science jobs?

States with the most job openings for Law Enforcement Computer Science jobs include:

What job categories do people searching Law Enforcement Computer Science jobs look for?

The top searched job categories for Law Enforcement Computer Science jobs are:

Law Enforcement Computer Science jobs near you
Infographic showing various Law Enforcement Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $88,815 per year, or $42.7 per hour.

Data Scientist - Law Enforcement Analytics & Program

Meta

Menlo Park, CA • Remote

$151K/yr

Full-time

Posted 17 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale. You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.
Data Scientist - Law Enforcement Analytics & Program Responsibilities:
  • Translate business challenges into clear, actionable requirements for AI-enabled solutions
  • Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
  • Design, build and implement AI automations
  • Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
  • Create scalable automation mechanisms that proactively monitor, analyze, and report
  • Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
  • Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
  • Acts as a data subject matter
  • Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
  • Perform complex data analysis leveraging data streams available to drive proactive and predictive action
  • Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
  • Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
  • Build data tables and dashboards, and leverage these for interpreting incidents and trends
  • Leverage tools like Tableau, Python, and SQL to drive efficient analytics

Minimum Qualifications:
  • 6+ years of experience in analytics, engineering, and use of AI/ML
  • 6+ years of SQL development experience and scripting language like Python
  • Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
  • Experience with data visualization tools and leveraging data models to drive business decisions
  • Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
  • Demonstrated experience with proactively identifying, scoping and implementing solutions
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Bachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$151,000/year to $213,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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