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Open Source Intelligence Jobs in Detroit, MI (NOW HIRING)

LHH US

Contract Technology Transactions Attorney

Detroit, MI · On-site

$90 - $120/hr

... intellectual property and other pertinent provisions of various agreement types including sponsored ... Experience with open source software licenses and compliance a plus Job Qualifications: * Licensed ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

The ideal candidate will combine strong technical skills with business intelligence to translate ... Contributions to open-source projects or research publications in AI/ML. * Knowledge of AI ethics ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

The ideal candidate will combine strong technical skills with business intelligence to translate ... Contributions to open-source projects or research publications in AI/ML. * Knowledge of AI ethics ...

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

The ideal candidate will combine strong technical skills with business intelligence to translate ... Contributions to open-source projects or research publications in AI/ML. * Knowledge of AI ethics ...

Orbotech

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

The ideal candidate will combine strong technical skills with business intelligence to translate ... Contributions to open-source projects or research publications in AI/ML. * Knowledge of AI ethics ...

Pwc

AI Engineer

Detroit, MI

$50K - $112K/yr

... Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI ... using open-source software - Applying natural language processing techniques in real-world ...

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All JobsOpen Source Intelligence JobsOpen Source Intelligence Jobs in Detroit, MI

Open Source Intelligence information

See Detroit, MI salary details

$50.5K

$97.6K

$145K

How much do open source intelligence jobs pay per year?

As of Sep 6, 2026, the average yearly pay for open source intelligence in Detroit, MI is $97,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $121,800.00 per year, depending on experience, location, and employer.

What is an open source intelligence?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are the key skills and qualifications needed to thrive in open source intelligence?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are some typical challenges faced by professionals in open source intelligence?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

Are there open source intelligence jobs?

Open Source Intelligence (OSINT) jobs involve collecting and analyzing publicly available information for security, research, or investigative purposes. These roles are common in government agencies, private security firms, and consulting companies, often requiring skills in data analysis, research tools, and sometimes certifications like OSINT certifications or security clearances.

How do I get started in Open Source Intelligence?

To start a career in Open Source Intelligence (OSINT), develop skills in research, data analysis, and cybersecurity tools such as Maltego or OSINT frameworks. Gain knowledge of online sources, social media platforms, and legal considerations, and consider certifications like the GIAC Open Source Intelligence Certification (GX0-01) to validate your expertise.

How to get a job in open source intelligence?

To get a job in open source intelligence, candidates should develop skills in data analysis, research, and cybersecurity tools, often through relevant degrees or certifications such as OSINT certifications. Gaining experience with intelligence platforms, programming languages like Python, and understanding legal and ethical considerations can improve employability. Networking within intelligence communities and staying updated on industry trends also help in securing positions in this field.

Is open source intelligence work in demand?

Open source intelligence (OSINT) analysts are in increasing demand across government agencies, private security firms, and corporations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.

What are the most commonly searched types of Open Source Intelligence jobs in Detroit, MI?

The most popular types of Open Source Intelligence jobs in Detroit, MI are:

What are popular job titles related to Open Source Intelligence jobs in Detroit, MI?

For Open Source Intelligence jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Open Source Intelligence jobs in Detroit, MI look for?

The top searched job categories for Open Source Intelligence jobs in Detroit, MI are:

Open Source Intelligence jobs near you
Infographic showing various Open Source Intelligence job openings in Detroit, MI as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,628 per year, or $46.9 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Ann Arbor, MI • On-site

$125K/yr

Full-time

Posted 10 days ago

Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

159th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications: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 closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

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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