ZipRecruiter

Log In

1

Fraud Detection Machine Learning Jobs in Arizona

Provn

Full Stack AI Engineer, Security

Scottsdale, AZ · Remote

$130K - $170K/yr

You sit where machine learning meets cybersecurity, building models that catch fraud, abuse ... A background in fraud detection, trust and safety, adversarial ML, or SIEM and SOAR tooling is a ...

New

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization forecasting, fraud/waste/abuse detection, quality measure computation (e.g., HEDIS), and care gap ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization forecasting, fraud/waste/abuse detection, quality measure computation (e.g., HEDIS), and care gap ...

Ryan House

Senior Data & AI Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... machine learning pipelines, and ensuring data security and compliance within healthcare data ... fraud/waste/abuse detection, quality measure computation (e.g., HEDIS), and care gap identification ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

... machine learning features/models into production. - Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes. - Passion for ...

next page

Showing results 1-20

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Arizona

Fraud Detection Machine Learning information

See Arizona salary details

$10

$16

$25

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

As of Jul 23, 2026, the average hourly pay for fraud detection machine learning in Arizona is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $17.93 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 are popular job titles related to Fraud Detection Machine Learning jobs in Arizona? For Fraud Detection Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Arizona look for? The top searched job categories for Fraud Detection Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Fraud Detection Machine Learning jobs? Cities in Arizona with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you

Full Stack AI Engineer, Security

Provn

Scottsdale, AZ • Remote

$130K - $170K/yr

Full-time

Posted yesterday

Job description

About the job

Full Stack AI Engineer - Security
Arrivia
Remote-US Full-time

Paste this url into your browser to view the full job description and apply directly provn.co:
https://provn.co/org/arrivia/jobs/5ce48ab7-5f43-4634-9c2b-898c97099862/full-stack-ai-engineer-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-fse-security

Job Context

Arrivia powers the travel behind many of the world's membership and loyalty brands. Its private travel marketplace gives members access to deeply discounted cruises, resorts, and hotels, and its platform runs the booking, servicing, and rewards underneath those programs. The engineering teams build and scale that platform across a distributed, cloud-native architecture.

As a Full Stack AI Engineer on the security team, you design, build, and deploy the AI systems that protect Arrivia's platforms, members, and data. You sit where machine learning meets cybersecurity, building models that catch fraud, abuse, intrusion, and data leakage, and owning the pipelines behind them from data ingestion through training, evaluation, and deployment into production. You integrate what you build with the reliability and low latency the platform demands, and you keep the defenses sharp as threats and adversarial techniques evolve. This role reports to the Security Ops Lead and is Remote-US (open to most states, with a few exceptions listed on the role page).

You fit if you have shipped machine learning to production and you pair that with a solid grounding in security, from threat modeling to authentication. You work fluently in Python and frameworks like PyTorch, TensorFlow, or scikit-learn, and you are comfortable with large-scale data and MLOps practices like monitoring and model lifecycle management on the cloud. A background in fraud detection, trust and safety, adversarial ML, or SIEM and SOAR tooling is a strong plus. The full requirements live on the role page at provn.co.

How hiring works here

Applying with Provn is designed to get more interviews for the best candidates coming in without a referral. The challenge is the first step of the application, and it carries as much weight as anything else you submit. Instead of sending a cold resume into an ATS and waiting, you complete a challenge built by Arrivia: you build the work, then record a short video walking through how you approached it. You'll use AI the way you would on the job, and you'll show the thinking behind what you built.

Both the artifact and the video are required to complete your application, and only complete applications are considered for this role. You'll take on a threat-detection problem shaped like the work you'd actually do here and show how you scoped it, where you made the trade-offs, and why.

Why that works in your favor:

  • You show how you actually build and ship AI systems against real security problems, instead of hoping a resume gets it across.
  • Your judgment with AI and ML becomes visible, which no "experience with PyTorch and anomaly detection" resume bullet can prove.
  • One challenge puts you in front of the security team, scored on the work, with no referral required to get there.

The hiring manager reviews every completed submission, and the strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.

What's in it for you

Compensation for this role is $130,000-$170,000. Salary is competitive and will be discussed during interviews. You also get access to the private travel marketplace with deeply discounted cruises, resorts, and hotels, comprehensive medical, dental, and vision coverage, and a 401k with company match. Beyond the package, you build AI-driven defenses that protect members worldwide, with the freedom to research emerging threats and put real models into production against them.

Apply by completing the challenge at provn.co, where the full role details live. Applications are open through August 28.

Paste this url into your browser to view the full job description and apply directly provn.co:
https://provn.co/org/arrivia/jobs/5ce48ab7-5f43-4634-9c2b-898c97099862/full-stack-ai-engineer-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-fse-security