Cyber - SecOps - Consultant
Raleigh, NC · On-site
Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...
Cyber - SecOps - Consultant
Raleigh, NC · On-site
Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...
Decision Scientist
Raleigh, NC · On-site +1
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Decision Scientist
Raleigh, NC · On-site +1
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Decision Scientist
Raleigh, NC · On-site
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Decision Scientist
Raleigh, NC · On-site
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Decision Scientist
Raleigh, NC · On-site
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Decision Scientist
Raleigh, NC · On-site
$118K - $178K/yr
... machine learning models to solve real-world business problems. * Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
Senior Data Scientist I at Disability Solutions Raleigh, NC
Raleigh, NC · On-site
$100 - $130/hr
... machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection. * Research, build, and deploy models based on both shallow and deep machine ...
Senior Data Scientist I at Disability Solutions Raleigh, NC
Raleigh, NC · On-site
$100 - $130/hr
... machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection. * Research, build, and deploy models based on both shallow and deep machine ...
Senior AI/ML Scientist
Chapel Hill, NC · On-site
$143K - $229K/yr
... ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics _____ JOB ALERT FRAUD: We have become aware of scams from ...
Senior AI/ML Scientist
Chapel Hill, NC · On-site
$143K - $229K/yr
... ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics _____ JOB ALERT FRAUD: We have become aware of scams from ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... RF signal processing, electronic warfare, optimization, array processing, machine learning ...
Quick apply
We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ... RF signal processing, electronic warfare, optimization, array processing, machine learning ...
MLOps Engineer
Raleigh, NC · On-site
... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ...
MLOps Engineer
Raleigh, NC · On-site
... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ...
The Principal AI Engineer architects and implements artificial intelligence and machine learning ... Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ...
The Principal AI Engineer architects and implements artificial intelligence and machine learning ... Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ...
Data Scientist
Cary, NC · On-site
$65 - $70/hr
Experience in developing Machine Learning models using Python (preferably in the cloud ... Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data ...
Quick apply
Data Scientist
Cary, NC · On-site
$65 - $70/hr
Experience in developing Machine Learning models using Python (preferably in the cloud ... Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data ...
MLOps Engineer
Raleigh, NC · On-site
Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ... Experience deploying production-ready machine learning models * Experience with Model ...
MLOps Engineer
Raleigh, NC · On-site
Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ... Experience deploying production-ready machine learning models * Experience with Model ...
We build advanced software and machine learning systems that help the Department of Defense detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that ...
Quick apply
We build advanced software and machine learning systems that help the Department of Defense detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Associate in Research
Durham, NC · On-site
... for detection, segmentation, and classification. We are currently working on problems in the ... Prior publications on the topics of machine learning, computer vision, and medical imaging are ...
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Quick apply
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Senior Software Architect
Carrboro, NC · On-site
$140K - $190K/yr
... machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern ...
Fraud Detection Machine Learning information
See Durham, NC salary details
$10.45 - $11.87
4% of jobs
$11.87 - $13.28
9% of jobs
$14.37 is the 25th percentile. Wages below this are outliers.
$13.28 - $14.70
15% of jobs
$14.70 - $16.11
20% of jobs
The median wage is $16.23 / hr.
$16.11 - $17.53
19% of jobs
$18.17 is the 75th percentile. Wages above this are outliers.
$17.53 - $18.94
17% of jobs
$18.94 - $20.36
7% of jobs
$20.36 - $21.77
4% of jobs
$21.77 - $23.19
2% of jobs
$23.19 - $24.60
1% of jobs
$24.60 - $26.02
1% of jobs
$10
$17
$26
How much do fraud detection machine learning jobs pay per hour?
As of Aug 11, 2026, the average hourly pay for fraud detection machine learning in Durham, NC is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.61 per hour, depending on experience, location, and employer.
What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?
Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.
What is fraud detection using machine learning?
Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.
What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?
| Aspect | Fraud Detection Machine Learning | Fraud Analyst |
|---|---|---|
| Credentials | Data science, machine learning certifications, programming skills | Finance, criminal justice degrees, analytical skills |
| Work Environment | Data-driven, tech-focused, often in financial or e-commerce sectors | Investigative, report-focused, in financial institutions or insurance companies |
| Employer & Industry | Tech companies, banks, e-commerce platforms | Financial institutions, insurance firms, retail |
Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.
What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?
To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Durham, NC? For Fraud Detection Machine Learning jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Durham, NC look for? The top searched job categories for Fraud Detection Machine Learning jobs in Durham, NC are:
What cities near Durham, NC are hiring for Fraud Detection Machine Learning jobs? Cities near Durham, NC with the most Fraud Detection Machine Learning job openings:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
45th of 150 rated financial services
Job description
If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...
- Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
- Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
- Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
- Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
- Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.
Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.
Qualifications
Required:
- 2+ years of analytics consulting or industry experience
- 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
- 2+ years of experience in statistical analysis, machine learning, and data mining
- 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
- 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
- 1+ years of experience with security operations center threat hunting and incident response
- Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
- Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
- Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
- Experience parsing and normalizing cybersecurity or information technology telemetry datasets
- Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
- Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
- Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...
- Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
- Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
- Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
- Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
- Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.
Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.
Qualifications
Required:
- 2+ years of analytics consulting or industry experience
- 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
- 2+ years of experience in statistical analysis, machine learning, and data mining
- 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
- 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
- 1+ years of experience with security operations center threat hunting and incident response
- Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
- Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
- Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
- Experience parsing and normalizing cybersecurity or information technology telemetry datasets
- Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
- Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
- Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.