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Remote Anomaly Detection Jobs in Arizona (NOW HIRING)

About the job Full Stack AI Engineer - Security Arrivia Remote-US Full-time Paste this url into ... anomaly detection" resume bullet can prove. * One challenge puts you in front of the security team ...

Remote Anomaly Detection information

What are the key skills and qualifications needed to thrive as a remote anomaly detection specialist, and why are they important?

To thrive in Remote Anomaly Detection, you need a strong background in statistics, data analysis, and machine learning, usually supported by a degree in computer science, engineering, or a related field. Familiarity with analytical tools like Python, R, SQL, and specialized anomaly detection frameworks is essential, along with experience in cloud platforms. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies enable accurate identification of unusual patterns, quick response to potential risks, and seamless collaboration in distributed work environments.

What are some common challenges faced by professionals working in remote anomaly detection roles?

Professionals in remote anomaly detection often face challenges related to data quality and access, as much of the work depends on analyzing large, diverse datasets from various sources. Ensuring secure, real-time data transmission and maintaining robust communication with cross-functional teams can also be demanding, especially when working remotely. Additionally, adapting to evolving algorithms and staying current with the latest detection technologies requires ongoing learning and collaboration. Successfully navigating these challenges typically involves proactive communication, diligent documentation, and leveraging collaborative tools to stay connected with colleagues.

What is remote anomaly detection?

Remote anomaly detection is the process of identifying unusual patterns or behaviors in data collected from remote systems, devices, or networks. This technique is commonly used in industries such as cybersecurity, manufacturing, and IoT to monitor operations and quickly detect issues or potential threats. By using algorithms and machine learning, remote anomaly detection can automatically flag data points that deviate from normal patterns, helping organizations respond proactively to prevent problems. This approach is especially valuable in environments where manual monitoring is difficult or impractical due to distance or scale.

What is the difference between Remote Anomaly Detection vs Data Analyst?

AspectRemote Anomaly DetectionData Analyst
Required CredentialsBackground in cybersecurity, data science, or related fields; certifications like CompTIA Security+ or Certified Data ProfessionalBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentRemote, often in tech or cybersecurity firms, focusing on monitoring systems and identifying irregularitiesRemote or on-site, working with data sets, creating reports, and providing insights for business decisions
Employer & Industry UsageTech companies, cybersecurity firms, financial institutionsBusiness, finance, marketing, healthcare sectors

While both roles involve working with data, Remote Anomaly Detection specialists focus on identifying irregularities in systems or networks, often requiring cybersecurity knowledge. Data Analysts interpret data to inform business strategies. The roles share skills in data analysis but differ in focus and industry applications.

What are popular job titles related to Remote Anomaly Detection jobs in Arizona? For Remote Anomaly Detection jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Anomaly Detection jobs in Arizona look for? The top searched job categories for Remote Anomaly Detection jobs in Arizona are:
What cities in Arizona are hiring for Remote Anomaly Detection jobs? Cities in Arizona with the most Remote Anomaly Detection job openings:

AI Native Principal Architect (Hybrid)

Experian

Scottsdale, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

As the AI Native Principal Architect, you will help define the future of our platform by balancing long-term architectural vision with practical execution. Working with engineering, product, and business leaders, you'll promote modern engineering practices, foster technical growth across teams, and ensure our technology foundation continues to evolve with the business.

You will report to the Director of Engineering. Hybrid work from our Scottsdale, AZ office is preferred; however, remote candidates will also be considered.

You'll have the opportunity to:

  • Lead architecture design and implementation of cloud native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on AWS.
  • Ensure solutions are scalable, resilient, secure, and efficient while maintaining agreement on goals.
  • Make architecture decisions and manage technical strategy for the digital intelligence and device fingerprinting domains.
  • Establish coding standards, conduct architecture reviews, and mentor engineers on best practices.
  • Design and implement RESTful services that can handle large volumes of real-time data with low latency and high availability.
  • Architect systems using Java, Spring Boot, Docker, Kubernetes, AWS services, Apache, Kafka, and NoSQL and SQL databases.
  • Provide technical leadership across engineering teams on solution design, architecture patterns, and technology choices.
  • Partner with product, engineering, data science, security, and strategic partners to translate fraud and risk requirements into technical solutions.
  • Build event-driven data-intensive platforms processing device signals, behavioral data, fraud indicators, and risk scoring at scale.
  • Architect systems supporting continuous delivery, observability, security, compliance, and cost optimization for operational efficiency.
  • Guide AI native engineering practices and embed AI and ML capabilities into product features, including fraud detection, anomaly detection, risk scoring, and device intelligence.
  • Promote AI tool adoption for development, productivity testing, and operational efficiency.
Qualifications
  • 10+ years of experience designing cloud-native solutions on AWS and expertise in AWS services (EC2, RDS, DynamoDB, Kinesis, Lambda), Docker/Kubernetes, and infrastructure-as-code.
  • Experience designing scalable, resilient, and cost-optimized Java architectures for high-volume, low-latency, cloud-native applications.
  • Experience architecting complex, mission-critical systems serving millions of requests with performance and availability requirements.
  • Track record translating requirements into technical solutions while managing multiple engineering teams and partner dependencies.
  • Expertise in designing event-driven, data-intensive platforms and APIs.
  • Knowledge of asynchronous processing, message brokers (Kafka), database optimization, API design principles, and techniques for achieving low-latency, high-throughput systems.
  • Experience leading technical strategy, establishing architecture standards, and mentoring engineers.
  • Experience translating technical concepts and aligning engineering with business objectives.
Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, vision, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
  • Explore all our exciting benefits here: https://myexperianbenefits.com/.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers

#LI-Hybrid

This is a hybrid remote/in-office role.