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Anomaly Detection Jobs (NOW HIRING)

Microsoft

Principal Security Researcher

$188K - $304K/yr

... anomaly detection * OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Key Accountabilities Design, develop, and maintain anomaly detection and pattern recognition systems across large-scale healthcare and operational datasets, using techniques such as clustering ...

DecisionPoint | Cortek

AI/ML Architect

$65.25 - $84/hr

This role develops predictive analytics solutions, anomaly detection models for IT and cybersecurity operations, automated content classification capabilities, personalization algorithms, and ...

Stock Group Analytics

Data Scientist

Washington, DC · On-site

Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection) * Perform statistical analysis and trend forecasting on historical data

Stock Group Analytics

Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection) * Perform statistical analysis and trend forecasting on historical data

Prophecy Technologies

Senior AIOps ML Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

This role involves developing and deploying advanced machine learning models for AIOps, including streaming anomaly detection, root-cause analysis, and incident forecasting. Key responsibilities also ...

Microsoft

Senior Security Researcher

Redmond, WA · On-site

$128K - $175K/yr

... anomaly detection * OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale ...

Mind Ware Inc

Lead GenAI / AI-ML SME

Centennial, CO · On-site

$105K - $138K/yr

As the go-to SME for a network anomaly detection initiative, you will guide technical direction, mentor engineering teams, and see your architecture decisions deployed at scale. This is a high-impact ...

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All JobsAnomaly Detection Jobs

Anomaly Detection information

What is anomaly detection?

An Anomaly Detection job involves identifying unusual patterns or deviations in data that do not conform to expected behavior. Professionals in this role use statistical methods, machine learning, and AI techniques to detect fraudulent activities, network intrusions, or system failures. They work in various industries such as finance, cybersecurity, healthcare, and manufacturing. Responsibilities may include data preprocessing, model training, and real-time anomaly detection to improve security and operational efficiency.

What does someone working in anomaly detection do?

Professionals in Anomaly Detection typically spend their days analyzing large datasets to identify unusual patterns or behaviors that could indicate errors, fraud, or other significant events. They build and maintain models using statistical techniques and machine learning algorithms, validate detected anomalies, and collaborate closely with data engineers, cybersecurity teams, or business analysts depending on the industry. Regular reporting of findings, tuning detection systems for accuracy, and staying updated with emerging methodologies are also important aspects of the job. The role often requires working both independently and as part of a multidisciplinary team to ensure timely and actionable insights are delivered.

What are the key skills and qualifications needed to thrive in anomaly detection?

To thrive in an Anomaly Detection role, you need a strong background in data analysis, statistics, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, and experience using data analysis tools such as TensorFlow, Scikit-learn, or specialized anomaly detection frameworks, are typically required. Strong problem-solving skills, attention to detail, and effective communication enhance your ability to interpret findings and share insights with cross-functional teams. These skills are essential for accurately identifying unusual patterns in data and contributing to an organization's data-driven decision-making processes.

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Anomaly Detection jobs near you
Infographic showing various Anomaly Detection job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Data Scientist - Detection & Modeling

Santa Monica, CA • On-site

TWG Global AI
See more jobs at TWG Global AIexternal

$190K - $290K/yr

Full-time

Re-posted 14 days ago

Job description

The Organization
At TWG AI, we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
As a Senior Data Scientist for Detection & Modeling, you'll own the features and models at the core of the surveillance systems - the layer that turns raw trading behavior into scored, explainable signals - and you'll evolve that layer as the systems mature and the labeled datasets grow. The work now spans two detection stacks on different grains: the account-grain L1-L3 stack on the US exchange and the wallet/cluster-grain D1-D3 stack of the DeFi Integrity Engine. The two seats split by venue focus while operating as one modeling practice: shared methodology (robust statistics on heavy-tailed data, calibration discipline, the labeling loop), different substrates. This is a hands-on modeling role with a lot of room to shape the detection architecture over the life of the program.
Key Responsibilities:
  • Design and refine features on large-scale financial time-series and on-chain data, with an emphasis on signals that hold up under noisy, heavy-tailed conditions
  • Develop and improve anomaly-detection models across both supervised and unsupervised approaches
  • Evolve the model architectures as labels accumulate - from simpler classifiers toward multi-class, per-scenario, and ensemble designs; on the DeFi side, activate the supervised layer from a standing start as the first disposition labels arrive
  • Improve detector calibration so scores are trustworthy and comparable across market types and venues
  • Partner with the validation and analyst teams on the labeling pipelines that supply the models' training signal

Requirements
Qualifications:
  • Strong feature engineering and applied ML on transactional or time-series data
  • Hands-on experience with anomaly detection and unsupervised methods (e.g., isolation forests, density-based methods, autoencoders)
  • Solid statistical foundations, including model calibration and working with imperfect labels
  • Production ML experience - you ship, monitor, and maintain models over time
  • Comfort scaling a modeling approach across many detectors, market types, and venues, rather than building one-off models
  • Fraud, risk, integrity, or market-surveillance domain experience a plus
  • FIX / market-microstructure fluency a plus; on-chain data familiarity a plus

Benefits
Position Location:
This is an onsite position based out of our Santa Monica, CA or New York, NY offices.
Compensation:
The base pay for this position is $190,000-290,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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