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Computer Science Fraud Jobs (NOW HIRING)

Meet Your Future Neighbors The Fraud Prevention organization at Nextdoor is dedicated to protecting ... Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Economics, or a related ...

We are looking for a Fraud Model Analyst to join our Fraud Model Development team, with a focus on ... Computer Science) or equivalent experience * Working knowledge of Model Risk Management (MRM ...

... Computer Science, Statistics, Mathematics, or similar * 2+ years of experience in fraud ... investigations, threat intelligence, cybersecurity, or risk management, with exposure to account ...

Fraud Analyst

Holbrook, NY · On-site

$12 - $14/hr

Company Description Open Scientific provides contract staffing and direct hire recruitment services ... Excellent attention to detail Excellent technical/computer skills Ability to multi-task Additional ...

We are looking for a Fraud Model Analyst to join our Fraud Model Development team, with a focus on ... Computer Science) or equivalent experience * Working knowledge of Model Risk Management (MRM ...

Bachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar * 4+ years of experience in fraud ...

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Computer Science Fraud information

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How much do computer science fraud jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for computer science fraud in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What is computer science fraud?

Computer science fraud refers to deceptive or unethical practices within the field of computer science, such as falsifying data, misrepresenting research results, or engaging in activities like software piracy or hacking for personal gain. This type of fraud can occur in academic research, software development, cybersecurity, and other related areas. It undermines trust in technological systems and can have serious legal and ethical consequences for individuals and organizations involved. Preventing computer science fraud requires adherence to ethical guidelines, transparent research methods, and strong cybersecurity measures.

What are the key skills and qualifications needed to thrive as a Computer Fraud Analyst, and why are they important?

To thrive as a Computer Fraud Analyst, you need a solid background in computer science, cybersecurity, and data analysis, usually supported by a relevant degree and industry certifications such as CISSP or CFE. Familiarity with digital forensics tools, intrusion detection systems, and security information and event management (SIEM) platforms is essential for investigating and preventing fraud. Strong analytical thinking, attention to detail, and clear communication are crucial soft skills in this role. These competencies are vital for identifying vulnerabilities, mitigating risks, and effectively collaborating with stakeholders to safeguard organizational assets.

What are some common challenges faced by computer science professionals working in fraud detection roles?

Professionals in computer science fraud detection often encounter rapidly evolving tactics used by fraudsters, requiring continuous learning and adaptation. Balancing the need for accurate detection with minimizing false positives is a frequent challenge, as overly strict algorithms can inconvenience legitimate users. Additionally, collaborating effectively with cross-functional teams—such as data scientists, cybersecurity experts, and business stakeholders—is important to ensure comprehensive fraud prevention strategies and timely incident response.
Infographic showing various Computer Science Fraud job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.
Senior Manager, Machine Learning Science - Fraud & Risk

Senior Manager, Machine Learning Science - Fraud & Risk

Expedia

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago


Expedia Group rating

8.0

Company rating: 8.0 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

5th of 11 rated travel agencies


Job description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.

Are you passionate about using machine learning to outsmart fraud and protect millions of travelers and partners worldwide? Would you like to work in the fast-paced, adversarial, high-scale, and data-rich world of online travel risk?

As Senior Manager, Machine Learning Science focused on Fraud & Risk at Expedia Group, you will lead a team of machine learning scientists building the models and AI systems that keep our marketplace safe from abuse while preserving a low-friction experience for legitimate customers.

The Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security: we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, we foster trust among travelers and providers, making Expedia's sustained revenue growth possible.

We are looking for a highly technical ML leader with deep experience in supervised learning for tabular and text data, strong familiarity with unsupervised, sequential, and graphbased methods, and a track record of shipping production ML systems. You and your team will own a portfolio of highimpact ML products across Expedia's fraud prevention landscape, partnering closely with product, engineering, and operations teams to design and ship realtime decisioning systems. You are excited to evolve our team's modeling approaches beyond our current baselines, raising the bar with modern methods such as sequence models, graph-based approaches, and research-driven GenAI techniques to dramatically improve performance and reduce manual queueing on complex fraud problems. You combine strong technical judgment with clear communication, stakeholder influence, and a passion for driving innovation on the team by growing talent, raising the quality bar, and building an inclusive, highperforming culture in one of Expedia Group's most dynamic and missioncritical problem spaces.

In this role, you will:

  • Lead, Mentor, and Develop: Mentor and grow a team of machine learning scientists, fostering a culture of innovation, collaboration and scientific rigor.

  • Strategic Planning & Delivery: Define and manage the team's strategic roadmap, setting goals (OKRs) and aligning projects with broader business objectives in the online travel domain. Translate this roadmap into effective delivery of ML-drive features and products.

  • Influence and Collaborate: Act as a key scientific leader, partnering with product, engineering, and business executives to align strategy and communicate complex technical concepts to a diverse audience.

Minimum Qualifications:

Experience & Education

  • PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).

  • 5+ years of industry experience applying machine learning to solve real-world problems.

  • 2+ years of direct people management experience with a proven track record of hiring, mentoring, and developing a high-performing team of machine learning scientists.

Functional & Technical Skills:

Technical & Scientific Excellence:

  • Deep expertise in machine learning theory, and learning algorithms (supervised and unsupervised), including a strong understanding of assumptions and limitations.

  • Ability to design end-to-end ML solutions based on deep understanding of business requirements, including approach, algorithm choice, data strategy, deployment, and monitoring.

  • Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) in real-world settings, with awareness of their trade-offs and deployment considerations.

  • Champion of software engineering best practices (e.g., version control, code reviews) within the team.

  • Hands-on fluency in Python and its data science ecosystem (e.g., PySpark, scikit-learn), and SQL. Technical depth to unblock your team and contribute to architectural decisions.

Leadership & People Management:

  • A passion for fostering healthy team culture that brings a balanced approach to individual team member career growth and collective goal of delivering impactful work.

  • Demonstrated ability to lead, mentor, and grow ML/DS talent, fostering a culture of innovation, scientific rigor, and psychological safety.

  • Strategic thinking and business acumen to align ML initiatives with organizational goals and measurable impact.

  • Strong storytelling and influencing skills to build trust, drive alignment, and support high-stakes decisions.

Preferred Qualifications:

  • Advanced domain knowledge in fraud, e-commerce, and operational applications of ML

  • Hands-on experience building and deploying models using GenAI / LLM technologies (e.g., OpenAI, Anthropic Claude, Google Gemini, Hugging Face), including fine-tuning and prompt engineering for production use cases.

  • Understanding of multi-agent architectures and best practices in agentic AI design and practical experience with function calling / tool use and API-based reasoning models to drive automated workflows.

  • Experience with real-world AI evaluation techniques (golden sets, synthetic data generation, offline and interactive testing) for GenAI systems.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.View our full list of benefits.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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