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Fraud Detection Machine Learning Jobs in Tomball, TX

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

Hp

AI Platforms Analytics and Governance Lead

Spring, TX · On-site

$130K - $205K/yr

Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. * Partnering with platform owners, engineering teams ...

Bwpmlp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

$120 - $160/hr

Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset ... Develop time series forecasting, anomaly detection, and classification models for operational and ...

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Fraud Detection Machine Learning information

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

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Tomball, TX is $17.09, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.22 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 Tomball, TX?

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

Fraud Detection Machine Learning jobs near you

Fraud & Criminal Investigator II

Service Corporation International

Houston, TX • On-site

Full-time

Re-posted 15 days ago

Service Corporation International rating

6.4

Company rating: 6.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

5th of 9 rated funeral services

Job description

Our associates celebrate lives. We celebrate our associates.
Conducts criminal and fraud investigations while enforcing criminal laws and institutional regulations that promote the protection and safety of SCI assets, associates, and guests on SCI property. Manage investigations in concert with local law enforcement.
JOB RESPONSIBILITIES
  • Investigates criminal activity and coordinates efforts and discovery with local law enforcement. Conducts skillful interviews of suspects, complainants, and witnesses to obtain information beneficial to the investigation and the apprehension and conviction of offenders.
  • Conducts crime scene searches appropriately searching for and preserving evidence; maintains evidence custody records. Takes crime scene photos. Reviews security / surveillance footage.
  • Conducts surveillance, investigations and internal investigations
  • Prepares investigative and activity reports, maintains records, follows evidence custody procedures, and responds to correspondence. Maintains confidentiality including securing evidence from unintentional breach.
  • Builds working relationship with law enforcement agencies to facilitate cooperative investigations.
  • Gives credible testimony in the criminal and civil courts.
  • Emergency call out may be required to remain onsite or work extended hours during man-made or natural disasters
  • Identifies physical and cash handling criminal vulnerabilities; advises on appropriate and reasonable security and safety preventative measures to mitigate criminal activity.
  • Completes complex and non-routine assignments independently. Self manages workload, communicating and clarifying deliverables and expectations. Collaborates with colleagues on investigative techniques. Takes the initiative to discuss assignments, expectations, priorities and deadlines as well as seek guidance and coaching from manager. Adjusts quickly to new work structures, processes, requirements or cultures. Ensures compliance with local, state, and federal regulations. Adjusts quickly to new work structures, processes, requirements or cultures.

Minimum Requirements
Education
  • Associates degree in law enforcement

Certifications & Licenses
  • Honorably retired or former licensed peace officer
  • Current LEOSA certification able to conceal/carry firearm

Experience
  • At least ten (10) years' verifiable criminal investigation or detective experience filing major felony criminal cases
  • At least three (3) years' corporate fraud and criminal investigations collaborating with local, state and federal law enforcement agencies
  • Verifiable relationships with local, state, and federal law enforcement agencies

Knowledge, Skills and Abilities
  • Ability to effect forcible arrests of violators; ability to communicate with witnesses and complainants in an effective manner.
  • Cognitive Ability including reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, learn from experience, and appropriately apply learning to new situations.
  • Process and results oriented, motivated to keep projects moving ahead by removing obstacles and exploring alternatives.
  • Ability to create clear reports and data visualizations to assist in decision-making and problem analysis
  • Conversant in law enforcement discipline and procedures
  • Must have a positive attitude, a drive to continually advance your understanding of the industry and business, and highly self-motivated
  • Ability to build professional and trusting business relations with management
  • Professional written and verbal communication skills
  • Proficient MS Office Suite skills
  • Local or long distance travel may be required for training or other business purposes occasionally

Postal Code: 77019
Category (Portal Searching): Logistics
Job Location: US-TX - Houston

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