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Fraud Data Scientist Jobs in Santa Rosa, CA (NOW HIRING)

Abbott

Clinical Scientist II - C

Santa Rosa, CA · On-site

$50 - $54/hr

Experience reviewing mass spectrometry (LC/MS/MS and/or GC/MS) data within a toxicology laboratory ... MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance * 401(k) Abbott is a global healthcare ...

All JobsFraud Data Scientist JobsFraud Data Scientist Jobs in Santa Rosa, CA

Fraud Data Scientist information

See Santa Rosa, CA salary details

$50.3K

$180.4K

$266.2K

How much do fraud data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for fraud data scientist in Santa Rosa, CA is $180,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,000.00 and $185,900.00 per year, depending on experience, location, and employer.

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 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.

How much do fraud data scientists make?

Fraud data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and fraud detection tools can earn higher salaries, often exceeding $150,000.
What job categories do people searching Fraud Data Scientist jobs in Santa Rosa, CA look for? The top searched job categories for Fraud Data Scientist jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Fraud Data Scientist jobs? Cities near Santa Rosa, CA with the most Fraud Data Scientist job openings:
Fraud Data Scientist jobs near you

Fraud Data Analyst

Cloud think technologies LLC

Bodega Bay, CA • On-site

Contractor

Re-posted 13 days ago

Job description

Must have: Development to design and implement fraud monitoring solutions

and fraud prevention strategies.
◦ Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
◦ Develop and maintain dashboards and reports that monitors suspicious activities
trends.
◦ Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
◦ Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
◦ Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products."

Overview

We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay Area. In this critical role, you will leverage your advanced PySpark expertise (6–9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customer's business. You will work cross-functionally with Fraud, Legal, Operations, Product, and Business Development teams to proactively detect, analyze, and mitigate complex gift card fraud schemes.

Key Responsibilities

  • Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
  • Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
  • Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
  • Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
  • Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
  • Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Advanced-level proficiency in PySpark (6–9 years of hands-on experience), including large-scale data processing and ETL workflows.
  • Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
  • Strong skills in data analysis, pattern recognition, and statistical modeling.
  • Professional experience collaborating with cross-functional business and technical teams.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Proficiency in SQL and Hadoop for data extraction, manipulation, and analytics.
  • Experience developing dashboards and reports using BI tools (e.g., Tableau, PowerBI).
  • Familiarity with building or evaluating machine learning models for fraud detection.

Description:

The services You will provide the Deloitte project team: As a Data Analytics Contractor, you will analyze and interpret complex data sets to provide actionable insights and support decision-making processes. Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain data models, dashboards, and reports to visualize data findings. Utilize statistical and analytical tools to perform data analysis and generate insights. Collaborate with project teams to understand data requirements and deliver relevant analytical solutions. Ensure data accuracy and integrity by performing data validation and quality checks.

Enable Skills-Based Hiring

No

Primary Skill Required for the Role

 

Pyspark

Level Required for Primary Skill

 

Advanced (6-9 years’ experience)

Additional Details for Role

 

Data Analyst
"◦ Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product
and Business