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Fraud Detection Machine Learning Jobs in Baltimore, MD

Phase2 Technology

Data Scientist

Fort George G Meade, MD · On-site

$77.60 - $176/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors--from fraud detection to cancer research to national intelligence ...

Phase2 Technology

Data Engineer

Belcamp, MD · On-site

$77.60 - $176/hr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

New

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Bowie, MD · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you ...

Booz Allen Hamilton

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

College Park, MD · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you ...

Booz Allen Hamilton, Inc.

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

Booz Allen Hamilton

Data Scientist

Annapolis Junction, MD · On-site

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

Booz Allen Hamilton

Data Scientist

Annapolis Junction, MD · On-site

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors from fraud detection to cancer research, to national intelligence ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Baltimore, MD

Fraud Detection Machine Learning information

See Baltimore, MD salary details

$10

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How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Baltimore, MD is $17.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.09 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Baltimore, MD?

For Fraud Detection Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Baltimore, MD look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Fraud Detection Machine Learning jobs?

Cities near Baltimore, MD with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Data Scientist

Phase2 Technology

Fort George G Meade, MD • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Posted 29 days ago

Job description

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:
  • 1+ years of experience in statistics, operations research, or advanced mathematics
  • Experience with R or Python
  • Experience using scientific methods to inform qualitative and quantitative analyses
  • Ability to work effectively in a collaborative and fast-paced environment
  • TS/SCI clearance with a polygraph
  • HS diploma or GED
Nice If You Have:
  • Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
  • Experience analyzing large-scale datasets
  • Experience with data gathering, cleansing, and parsing
  • Experience developing and applying optimization and simulation models
  • Ability to work in Windows and Linux OS environments
  • Bachelor's degree in Operations Research, Applied Mathematics, or Data Science
Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

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