Skill
Anomaly Detection
Data Science, Analytics and AI/ML
Anomaly detection is a data analysis technique used to identify data points, events, or patterns that deviate significantly from expected behavior, often signaling errors, fraud, or rare events. It employs statistical methods and machine learning algorithms (such as clustering, isolation forests, or autoencoders) and is widely used in fields like cybersecurity, fraud detection, manufacturing quality control, and network monitoring. Data scientists and engineers implement it to flag outliers in large datasets automatically.
Anomaly Detection in the job market
Last checked September 13, 2026
- Open roles
- 22
- Employers
- 19
- Median pay
- —
- Disclose pay
- —
on Career App right now
hiring for it
not enough disclosed
of these roles
Open roles requiring Anomaly Detection (22)
Global Network Security Engineer (Remote)
Crane Co.
Stamford, CT · Remote
A network security professional will manage enterprise firewall infrastructure, implement modern security technologies across cloud and on-premises environments, and guide the company's distributed teams on security best practices within a global operations program. This suits someone with substantial hands-on experience in security operations who enjoys mentoring others and driving infrastructure modernization projects.
Listed on Crane Co.’s careers site · Apply there ↗
Director, Finance Transformation
Biogen
Full-time · Cambridge, MA · $188,000 – $259,000
Lead Biogen's finance and IT modernization efforts as the strategic owner of FP&A transformation, bridging finance and technology to implement system enhancements, process automation, and AI-enabled analytics. This role suits an experienced FP&A leader who has managed enterprise system implementations and wants to shape the technology strategy and capabilities that enable financial planning and analysis.
Listed on Biogen’s careers site · Apply there ↗
Principal Software Engineer, At-Scale Reliability and Fleet Intelligence — CSP Engagements
NVIDIA
Santa Clara, CA · $272,000 – $431,250
A principal-level engineer focused on making NVIDIA's systems reliable at hyperscale, working with major cloud providers to measure and improve mean-time-between-interruptions for GPU platforms in production. This role suits someone with deep datacenter systems expertise and a track record of translating fleet reliability data into actionable improvements across firmware, drivers, and hardware.
Listed on NVIDIA’s careers site · Apply there ↗
Principal AI & Automation Engineer
Comcast
Philadelphia, PA
Lead the design and implementation of AI-powered test automation frameworks for Comcast's next-generation broadband network infrastructure. This role suits experienced automation architects who can combine machine learning techniques with quality engineering to enable faster, more reliable product releases across cloud-native systems.
Listed on Comcast’s careers site · Apply there ↗
Sr. Engineer, Machine Learning/Artificial Intelligence
Starz
Denver, CO · $150,000 – $180,000
STARZ is seeking a senior machine learning engineer to extract actionable insights from their streaming platform's operational data using advanced analytics, anomaly detection, and generative AI techniques. This role suits someone with deep experience applying ML models to large-scale telemetry and is positioned to shape how the company's engineering teams respond to data-driven signals.
Listed on Starz’s careers site · Apply there ↗
Senior Product Security Architect
Expedia Group
$184,500 – $258,000
This role advises product teams on security architecture and threat modeling while driving adoption of AI-enabled security practices across Expedia's platforms. It suits experienced security architects who can balance pragmatic risk decisions with innovation velocity and mentor teams on secure-by-design principles.
Listed on Expedia Group’s careers site · Apply there ↗
Senior Staff Data Scientist, Robotics
Agility Robotics
Full-time · Remote · $218,000 – $340,000
This role leads data science for a robotics company deploying humanoid robots into warehouses and factories, focusing on predictive maintenance, fleet performance analysis, and operational insights that drive hardware and software improvements. It suits experienced data scientists with strong expertise in reliability modeling, time-series analysis, and a track record of leading cross-functional technical teams in complex, real-world environments.
Listed on Agility Robotics’s careers site · Apply there ↗
Director, Internal Analysis
Mixpanel
San Francisco, CA · $273,000 – $350,000
Lead Mixpanel's internal data team, overseeing Analytics Engineers and Data Scientists who build the company's data infrastructure and insights. This role suits experienced data leaders ready to shape organizational culture around metrics-driven decision-making and manage both technical excellence and cross-functional influence at the executive level.
Listed on Mixpanel’s careers site · Apply there ↗
Data Scientist, Trust & Safety
Replit
Full-time · Foster City, CA · $210,000 – $310,000 · Remote
This role builds Replit's abuse-detection and trust-safety systems from the ground up, using data science to identify and prevent fraud, phishing, and AI-driven exploitation while minimizing false positives against legitimate users. The position suits data scientists experienced in fraud detection or platform integrity who can move quickly from ambiguous signals to rigorous recommendations under high stakes.
Listed on Replit’s careers site · Apply there ↗
Staff Engineer, Command Center Insights & Actions
Crusoe
Full-time · San Francisco, CA · $210,000 – $255,000
Crusoe seeks a Staff Engineer to own anomaly detection and alerting for their Command Center platform, defining what constitutes problems across global AI infrastructure. The role suits someone with deep expertise in detection systems and heuristics who wants to build critical infrastructure at scale while mentoring a strong engineering team.
Listed on Crusoe’s careers site · Apply there ↗
Asked for alongside Anomaly Detection
Measured from the 22 open roles that name Anomaly Detection — not from a curated list.
- Python13 roles59.1%
- Machine Learning8 roles36.4%
- SQL8 roles36.4%
- LLMs (Large Language Models)6 roles27.3%
- A/B Testing3 roles13.6%
- C++3 roles13.6%
- Go3 roles13.6%
- Kubernetes3 roles13.6%
Roles that use Anomaly Detection
Employers hiring for Anomaly Detection
19 in total, most open roles first.
- CCrusoe2 roles
- MMixpanel2 roles
- NVIDIA2 roles
- ARAgility Robotics1 role
- Biogen1 role
- CCharacterAI1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.