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Fraud Detection Machine Learning Jobs in Dublin, CA

(USA) Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive ...

Account Executive

Milpitas, CA · On-site

$150K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of course AI. TigerGraph clients leverage its technology to efficiently and accurately harness the true ...

Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of course AI. TigerGraph clients leverage its technology to efficiently and accurately harness the true ...

Account Executive

San Francisco, CA · On-site

$150K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of course AI. TigerGraph clients leverage its technology to efficiently and accurately harness the true ...

Account Executive

San Francisco, CA · On-site

$150 - $160/hr

Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to ...

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to ...

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to ...

Software Engineer

Milpitas, CA · On-site

$140K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to ...

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to ...

AI Auditor, Senior

Oakland, CA · On-site

$90K - $136K/yr

The AI Internal Audit Consultant will support audit, compliance, fraud detection, and investigative ... Experience with artificial intelligence, machine learning, advanced analytics, automation, AI ...

Showing results 41-60

Fraud Detection Machine Learning information

See Dublin, CA salary details

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How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Dublin, CA is $20.33, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.63 per hour, depending on experience, location, and employer.

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 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 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 is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial 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 cities near Dublin, CA are hiring for Fraud Detection Machine Learning jobs?

Cities near Dublin, CA with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Dublin, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,287 per year, or $20.3 per hour.

(USA) Staff, Data Scientist

Walmart

Milpitas, CA • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,601 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role Summary As a Staff Data Scientist at Walmart, you will leverage advanced analytics and machine learning techniques to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and data visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable business value. Your contributions will strengthen data-driven strategies, ensure alignment with business objectives, and promote best practices in analytics and data science while mentoring associates. About the Team Join the Fraud and Risk Detection Data Science team at Walmart Global Tech, where you will collaborate with data scientists, engineers, product managers, and business professionals. This cross-functional team operates at the intersection of data science, big data, IT infrastructure, and business operations. Team members leverage advanced machine learning, deep learning, and optimization techniques to develop scalable predictive models and analytics solutions. The team works with large volumes of business and customer data generated across Walmart's online and offline commerce platforms, driving impactful insights and innovations that support critical decision-making and enhance operational effectiveness across the organization. What You'll Do
  • Perform hands-on data exploration, processing, and analysis on large-scale datasets.
  • Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive returns.
  • Extract and analyze data from data warehouses and cloud platforms; perform feature engineering, back-test models, evaluate model performance, and present findings and recommendations to stakeholders.
  • Research, develop, and implement state-of-the-art algorithms that address complex business challenges.
  • Partner with cross-functional teams to deploy scalable, production-ready data science solutions.
What You'll Bring
  • Strong expertise in data mining, machine learning, statistical analysis, and deep learning.
  • Proficiency in Python and experience with open-source machine learning and data science frameworks.
  • Experience working with large datasets using distributed computing platforms such as BigQuery, Hive, or Spark.
  • Experience working in cloud environments, including Google Cloud Platform (GCP) or Microsoft Azure.
  • Familiarity with AI agents and practical AI-driven applications.
  • Strong database and querying skills, including BigQuery, Hive, and SQL.
  • Programming experience in Python, Java, or JavaScript.
  • Advanced degree in a STEM field (Master's or PhD preferred) and at least five years of relevant industry experience.
  • Ability to thrive in a fast-paced environment and communicate effectively with both technical and non-technical stakeholders.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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