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Law Enforcement Computer Science Jobs in Wisconsin

Cliftonlarsonallen

Manager of Data Science

Hudson, WI

... computer vision, large language models (LLMs), and agent-based systems. * Lead the design and ... Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and ...

MSCCN

Public Safety Officer

Milwaukee, WI · On-site

$45K - $60K/yr

Liaise with law enforcement to assist in apprehension of suspects. * Collaborate with the Manager ... A two or four year degree in Criminal Justice, Police Science, or a related field is preferred

Door County, WI

Patrol Deputy

Sturgeon Bay, WI · On-site

$32.59/hr

At least sixty (60) college credits in police science, criminal justice or related field. * Certified law enforcement officer per Wisconsin Law Enforcement Standards Board, or obtained certification ...

Washburn County, WI

LTE Sheriff Deputy

Shell Lake, WI · On-site

$24.67/hr

Law Enforcement Division: Deputies Opening Date: 06/26/2026 Purpose of Position/General Statement ... Associate Degree in Police Science or 60 college level credits and certification. Must meet the ...

Ozaukee County

Legal Office Assistant

Port Washington, WI · On-site

$24.64 - $27.38/hr

Accepts new referrals and reports from law enforcement with utmost accuracy. Provides defense ... Practical computer experience. * Experience working with databases and document processing will be ...

MSCCN

Public Safety Officer - Part Time

Milwaukee, WI · On-site

$26.59 - $31.91/hr

Liaise with law enforcement to assist in apprehension of suspects. * Collaborate with the Manager ... A two or four year degree in Criminal Justice, Police Science, or a related field is preferred

mcts

PUBLIC SAFETY OFFICER - PART TIME

Milwaukee, WI

$26.59 - $31.91/hr

Liaise with law enforcement to assist in apprehension of suspects. * Collaborate with the Manager ... A two or four year degree in Criminal Justice, Police Science, or a related field is preferred

mcts

PUBLIC SAFETY OFFICER - PART TIME

Milwaukee, WI

$26.59 - $31.91/hr

Liaise with law enforcement to assist in apprehension of suspects. * Collaborate with the Manager ... A two or four year degree in Criminal Justice, Police Science, or a related field is preferred

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Law Enforcement Computer Science information

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 Wisconsin? For Law Enforcement Computer Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Law Enforcement Computer Science jobs in Wisconsin look for? The top searched job categories for Law Enforcement Computer Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Law Enforcement Computer Science jobs? Cities in Wisconsin with the most Law Enforcement Computer Science job openings:
Law Enforcement Computer Science jobs near you
Manager of Data Science

Manager of Data Science

Cliftonlarsonallen

Hudson, WI

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago

CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

15th of 17 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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