ZipRecruiter

Log In

2

Remote Anomaly Detection Jobs (NOW HIRING)

DetaPent

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Columbia, SC (Remote) Duration: Full Time Responsibilities Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. Develop, optimize, and ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116.35K - $210.33K/yr

Anomaly detection and change detection * Radiometric, atmospheric, and geometric correction ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Leidos

Senior Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92.30K - $166.85K/yr

Anomaly detection and change detection * Radiometric, atmospheric, and geometric correction ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Arch Systems

Be Seen First

Lead / Principal Investigator (PI)

Baltimore, MD · Remote

$105/hr

Remote Type : Consulting Job Summary We are seeking an experienced Lead / Principal Investigator ... Oversee development of AI/ML models for anomaly detection and data quality improvement * Design and ...

Zotec Partners

Revenue Integrity Analyst

This is a remote position. As a Revenue Integrity Analyst, you will investigate and document charge ... Investigate charge and payment anomalies identified through the new anomaly detection program ...

Hopper

Implement automated reconciliation and anomaly detection systems to proactively surface financial ... Come take off with us! #LI-REMOTE

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117.20K - $140.70K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of ... deduplication, anomaly detection) * Familiar with version control, CI/CD practices for data ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186.10K - $300.55K/yr

We are moving beyond simple anomaly detection. We are building a self-healing ecosystem where Multi ... Employee divides their time between in-office and remote work. Access to an office location is ...

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186.10K - $300.55K/yr

We are moving beyond simple anomaly detection. We are building a self-healing ecosystem where Multi ... Employee divides their time between in-office and remote work. Access to an office location is ...

next page

Showing results 1-20

All JobsRemote Anomaly Detection Jobs

Remote Anomaly Detection information

See salary details

$15

$27

$37

How much do remote anomaly detection jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote anomaly detection in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

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.

More about Remote Anomaly Detection jobs
What cities are hiring for Remote Anomaly Detection jobs? Cities with the most Remote Anomaly Detection job openings:
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
What states have the most Remote Anomaly Detection jobs? States with the most job openings for Remote Anomaly Detection jobs include:
What job categories do people searching Remote Anomaly Detection jobs look for? The top searched job categories for Remote Anomaly Detection jobs are:
Remote Anomaly Detection jobs near you
Infographic showing various Remote Anomaly Detection job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Junior Data Scientist

DetaPent

Columbia, SC • On-site, Remote

$60K - $90K/yr

Full-time

Posted 17 days ago

Job description

This range is provided by DetaPent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $60,000.00/yr - $90,000.00/yr Title: Jr.

Data Scientist / AI-ML Engineer Location: Columbia, SC (Remote) Duration: Full Time Responsibilities Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques. Perform data analysis, generate insights, and identify patterns to support decision-making.

Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy. Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies. Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.

Collaborate with engineers and business teams to integrate models into production systems. Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability. Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.

Qualifications Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field. 1+ years of hands-on experience in data science, AI, or ML engineering. Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).

Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling. Experience with anomaly detection techniques — supervised, unsupervised, and hybrid approaches. Experience in Generative AI based implementations.

Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks. Strong problem-solving, analytical thinking, and communication skills. Experience in deploying ML models into production environments, ML Ops, preferably on AWS.

Regards, DetaPent Seniority Entry level Employment type Full-time Industries IT Services and IT Consulting #J-18808-Ljbffr

Apply