ZipRecruiter

Log In

1

Fraud Data Scientist Jobs in California (NOW HIRING)

Unchain Data

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187 - $220/hr

About the Role The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat ...

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

Booz Allen Hamilton, Inc.

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Monterey, CA

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research to national intelligence ...

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... The role involves using machine learning models for web content categorization and fraud detection.

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... Fraud detection & automated ranking content quality Qualifications : Required : • Gurobi ...

Booz Allen Hamilton

Mid Data Scientist

San Diego, CA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Across private and public sectors, from fraud detection to cancer research, to national ...

next page

Showing results 1-20

All JobsFraud Data Scientist JobsFraud Data Scientist Jobs in California

Fraud Data Scientist information

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What are the most commonly searched types of Fraud Data Scientist jobs in California?

The most popular types of Fraud Data Scientist jobs in California are:

What are popular job titles related to Fraud Data Scientist jobs in California?

For Fraud Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Fraud Data Scientist jobs in California look for?

The top searched job categories for Fraud Data Scientist jobs in California are:

What cities in California are hiring for Fraud Data Scientist jobs?

Cities in California with the most Fraud Data Scientist job openings:

Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in California as of August 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, and 6% Contract. Highlights an 74% In-person, 10% Hybrid, and 16% Remote job distribution.

Senior Data Scientist, Fraud

Unchain Data

Menlo Park, CA • On-site

$187 - $220/hr

Other

Medical, Life, Retirement, PTO

Posted 19 days ago

Job description

About the Role

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance.

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You'll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.

This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Responsibilities
  • Design and deploy fraud detection models to protect Robinhood users and assets in real time
  • Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
  • Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
  • Partner with engineering and product teams to implement safeguards and user-facing features
  • Guide experimentation strategy and contribute to long-term fraud prevention roadmap
Requirements
  • 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
  • Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
  • Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
  • Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
  • A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments
Benefits
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet—a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life and disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
Compensation

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000–$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000–$194,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$146,000–$172,000 USD

#J-18808-Ljbffr

Apply