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Fraud Detection Machine Learning Jobs in Silver Spring, MD

Varsity Tutors

Machine Learning Tutor

College Park, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Laurel, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Baltimore, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Rockville, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Leesburg, VA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Washington, DC · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Alexandria, VA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Bowie, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Elder Research

Senior AI/ML Lead

Arlington, VA · Hybrid

This role provides technical leadership across the lifecycle of machine learning models used to detect risk, identify anomalous activity, and strengthen fraud prevention capabilities. The ideal ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Silver Spring, MD

Fraud Detection Machine Learning information

See Silver Spring, MD salary details

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

As of Aug 13, 2026, the average hourly pay for fraud detection machine learning in Silver Spring, MD is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.90 per hour, depending on experience, location, and employer.

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

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

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

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

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,816 per year, or $18.7 per hour.

Principal II - Fraud Analytics Lead (Consulting Manager)

Dovel Technologies, Inc

Lanham, MD • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Job description

## Principal II - Fraud Analytics Lead (Consulting Manager)Applylocations: US - VA, Arlingtontime type: Full timeposted on: Posted Todayjob requisition id: 42631**Job Family:**Data Science & Analysis**Travel Required:**None**Clearance Required:**Ability to Obtain Public Trust**What You Will Do:** The Principal II Fraud Analytics Lead will provide strategic technical leadership for fraud analytics operations, analytical methodologies, platform integration activities, and investigative initiatives. This position establishes analytical approaches, guides technical direction across workstreams, and advises stakeholders on complex fraud detection and analytic challenges. * Establish analytical strategies, methodologies, and priorities supporting fraud analytics, predictive analytics, forensic analysis, data mining, and cybersecurity monitoring initiatives.* Develop and apply in-depth analyses of complex data to identify fraudulent activity, anomalous behavior, root causes, emerging risks, and potential attack vectors.* Exercise independent judgment in selecting analytical methods, techniques, tools, and evaluation criteria to obtain results and inform decision-making.* Provide technical leadership, mentorship, and strategic direction across analytical workstreams while reviewing and approving complex analytical products and recommendations.* Define, refine, and oversee implementation of fraud indicators, detection methodologies, predictive models, analytical frameworks, and statistical analysis approaches.* Collaborate with stakeholders to integrate data mining results with existing systems, improve analytics performance, and recommend process or technology enhancements.* Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational priorities.* Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.* Identify alternative applications for existing tools, techniques, and technologies to improve fraud analytics outcomes and operational effectiveness.* Advise government and contractor leadership on fraud trends, emerging risks, analytical priorities, and opportunities to improve fraud detection effectiveness.* Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.**What You Will Need:*** Ability to obtain and maintain a Public Trust clearance.* Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.* EIGHT (8) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.* Experience leading analytical workstreams, technical tasks, or program segments in data analytics, fraud analytics, cybersecurity, systems integration, or platform advisory environments.* Experience establishing analytical strategies, technical approaches, or fraud detection methodologies across multiple teams or workstreams.* Experience developing and applying in-depth analysis of complex data using professional concepts, methodologies, and independent judgment.* Experience with machine learning, statistical modeling, predictive analytics, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.* Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.* Experience providing technical leadership, direction, or mentorship to team members completing analytics, data integration, documentation, or investigative tasks.* Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.* Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.* Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.**What Would Be Nice To Have:*** Experience leading fraud analytics, cybersecurity analytics, data science, or incident response teams in a federal or large enterprise environment.* Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.* Experience developing or guiding machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.* Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.* Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.* Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.* Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.* Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.* Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.**What We Offer:**Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:* Medical, Rx, Dental & Vision Insurance* Personal and Family Sick Time & Company Paid Holidays* Parental Leave* 401(k) Retirement Plan* Group Term Life and Travel Assistance* Voluntary Life and AD&D Insurance* Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts* Transit and Parking Commuter Benefits* Short-Term & Long-Term Disability* Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities* Employee Referral Program* Corporate Sponsored Events & Community Outreach* Care.com annual membership* Employee Assistance Program* Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)* Position may be eligible for a discretionary variable incentive bonus**About Guidehouse**Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.*Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.* #J-18808-Ljbffr

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