... 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 ...
... 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 ...
Staff Machine Learning Engineer
Manhattan, NY · On-site
$180K - $220K/yr
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...
Staff Machine Learning Engineer
Manhattan, NY · On-site
$180K - $220K/yr
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...
Principal Machine Learning Engineer
Manhattan, NY · On-site
$220K - $265K/yr
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...
Principal Machine Learning Engineer
Manhattan, NY · On-site
$220K - $265K/yr
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...
Senior Security Researcher
Redmond, WA · On-site
... 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 ...
Senior Security Researcher
Redmond, WA · On-site
... 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 ...
Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection
San Jose, CA · Hybrid
$134K - $161K/yr
Experience delivering production-ready AI systems, including expertise in anomaly detection, event correlation, incident investigation, and resilient systems with well-defined service-level ...
Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection
San Jose, CA · Hybrid
$134K - $161K/yr
Experience delivering production-ready AI systems, including expertise in anomaly detection, event correlation, incident investigation, and resilient systems with well-defined service-level ...
Manager, Fraud Detection and Data Analytics
Merrimack, NH · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
Merrimack, NH · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
Merrimack, NH · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
Merrimack, NH · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
Jersey City, NJ · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
Jersey City, NJ · On-site
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
Manager, Fraud Detection and Data Analytics
$97K - $185K/yr
Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings. * Communicate insights clearly and effectively to influence stakeholders and drive product changes.
... 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 ...
... 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 ...
... anomaly models to detect adversary TTPs aligned with MITRE ATT&CK. • Develop and maintain detection-as-code using Python and YAML-based rule formats (e.g., Sigma, YARA-L, Kusto, or Lucene). • ...
... anomaly models to detect adversary TTPs aligned with MITRE ATT&CK. • Develop and maintain detection-as-code using Python and YAML-based rule formats (e.g., Sigma, YARA-L, Kusto, or Lucene). • ...
Principal, Data Scientist
Rogers, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Rogers, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Cave Springs, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Cave Springs, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Greenland, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Greenland, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Tontitown, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Tontitown, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Centerton, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Centerton, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Fayetteville, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Principal, Data Scientist
Fayetteville, AR · On-site
$110K - $220K/yr
Develop intelligent anomaly detection frameworks leveraging techniques such as Isolation Forest, Random Forest, statistical methods, and unsupervised learning algorithms. * Partner with business ...
Anomaly Detection information
What are typical daily tasks and responsibilities for someone working in Anomaly Detection?
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 the Anomaly Detection position, and why are they important?
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.
What is an Anomaly Detection job?
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.
More about Anomaly Detection jobs
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 Anomaly Detection jobs? States with the most job openings for Anomaly Detection jobs include:
What job categories do people searching Anomaly Detection jobs look for? The top searched job categories for Anomaly Detection jobs are:
Microsoft rating
8.6
Based on 130 frontline employees who took The Breakroom Quiz
57th of 209 rated software companies
Job description
Overview
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate.
Microsoft Security Research is at the front line of defending Microsoft customers and the broader ecosystem against the world's most sophisticated threat actors. Our Applied Threat Intelligence team tracks the threat landscape and the threat actors that target our customers; where they have been, where they are today, and predict where they will be tomorrow. We partner deeply across Microsoft Threat Intelligence, product engineering, and research to ensure our customers stay ahead of threats.
Responsibilities
Qualifications
Minimum Qualifications:
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
Preferred Qualifications:
#MSSecurity
Security Research IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate.
Microsoft Security Research is at the front line of defending Microsoft customers and the broader ecosystem against the world's most sophisticated threat actors. Our Applied Threat Intelligence team tracks the threat landscape and the threat actors that target our customers; where they have been, where they are today, and predict where they will be tomorrow. We partner deeply across Microsoft Threat Intelligence, product engineering, and research to ensure our customers stay ahead of threats.
Responsibilities
- Lead with AI to understand the threat landscape and the latest attacker tradecraft.
- Track threat actors, including financially motivated threat actors; their infrastructure, their targets, and their shifting techniques, tactics, and procedures.
- Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community.
- Partner with product, research, marketing, and communications teams to ensure high-quality intelligence experiences through Microsoft's customer-facing surfaces and managed services (Agentic Security, Defender XDR, Defender Experts, Sentinel, blogs, briefings).
- Build and refine the pipelines, tooling, and workflows that allow Microsoft to stream insightful cyber threat intelligence to customers machine speed.
- Represent Microsoft Threat Intelligence in customer briefings, industry conferences, and cross-industry working groups.
Qualifications
Minimum Qualifications:
- Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or 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 computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
- OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
- OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
- OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
- OR equivalent experience.
- 3+ years of experience in cyber threat intelligence, threat hunting, incident response, or a closely related security discipline.
- Attribution experience creating threat groups, assessing connections between established threat groups, and communicating attribution assessments to internal stakeholders and customers in a timely manner.
- Demonstrated experience producing finished threat intelligence reporting for technical and/or executive audiences.
- Working experience with Microsoft Sentinel and Microsoft Defender XDR (or directly comparable SIEM/XDR platforms).
- Understanding of adversary tradecraft, the cyber kill chain, and frameworks such as MITRE ATT&CK, the Diamond Model, and structured analytic techniques.
- Written and verbal communication skills, with a portfolio of public or customer-facing intelligence writing.
- Experience tracking and defending against financially motivated threat actors.
- Experience with endpoint, cloud, network, and identity-based attacks and datasets.
- Experience with AI tools and large language models, building agents and skills for information security applications and pipelines.
- Comprehensive OS security/internals knowledge.
- Understanding of network protocols and analytical experience with network infrastructure data & telemetry.
- Reverse-engineering with static and behavioral binary analysis experience.
- Functional understanding of common threat analysis models such as the Diamond Model, Cyber Kill Chain, and MITRE ATT&CK.
- Programming or scripting background (Python, PowerShell, C#, C++, etc.).
#MSSecurity
Security Research IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
What Microsoft employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Microsoft
Sourced by ZipRecruiter
Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
Redmond, WA, US
Year founded
1975