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Law Enforcement Computer Science Jobs in Spring Grove Heights, IN

Henny Penny

Manager, Software Testing

Eaton, OH · Hybrid

Maintain and enforce up-to-date testing procedures and work instructions. * Implement and own the ... S) Engineering, Computer Science or related field Preferred * 10+ years engineering in SDLC ...

Henny Penny

Manager, Software Testing

Eaton, OH · On-site

Maintain and enforce up-to-date testing procedures and work instructions. * Implement and own the ... S) Engineering, Computer Science or related field Preferred * 10+ years engineering in SDLC ...

City of Richmond

Police Lab Technician

Richmond, IN · On-site

Knowledge, Skills and Abilities Thorough knowledge of law enforcement methods, practices and ... or computer data, visual inspection involving small defects and/or small parts and observing ...

Silfex, Inc.

Senior Software Engineer

Eaton, OH

$104K - $137K/yr

Institutionalize Documentation & Knowledge Systems- Enforce docs-as-code standards; create ... in Computer Science, Software Engineering, or a related field * Proven expertise in large-scale ...

Trew LLC

Cybersecurity Administrator

West Chester, OH · On-site

Develop, document, and enforce cybersecurity policies, standards, and procedures appropriate for a ... Bachelor's degree in Information Security, Computer Science, Information Systems, or a related ...

TREW LLC

Cybersecurity Administrator

West Chester, OH · On-site

Compliance * Develop, document, and enforce cybersecurity policies, standards, and procedures ... Bachelor's degree in Information Security, Computer Science, Information Systems, or a related ...

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All JobsLaw Enforcement Computer Science JobsLaw Enforcement Computer Science Jobs in Spring Grove Heights, IN

Law Enforcement Computer Science information

See Spring Grove Heights, IN salary details

$31.7K

$79.4K

$122K

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

As of Jul 27, 2026, the average yearly pay for law enforcement computer science in Spring Grove Heights, IN is $79,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $88,000.00 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 cities near Spring Grove Heights, IN are hiring for Law Enforcement Computer Science jobs? Cities near Spring Grove Heights, IN with the most Law Enforcement Computer Science job openings:
Law Enforcement Computer Science jobs near you

Data Scientist-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Muncie, IN • On-site

$74K/yr

Other

Posted 21 days ago

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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