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Data Scientist Fraud Detection Jobs in Texas (NOW HIRING)

Kasmo Global

Data Scientist

Dallas, TX · On-site

Data Scientist III Job ID : PPALJP00012157 Location: San Jose CA OR Chicago IL Client - PayPal ... fraud detection platform. * Collaborate across multidisciplinary teams in engineering, product ...

Visa

Data Scientist

Austin, TX · On-site

$123.70K/yr

Use GenAI to create an agentic framework that enhances fraud detection efficiency. * As a member of the PFI team, you will work closely with other data scientists and data engineers to build, design ...

Visa

Data Scientist

Austin, TX · On-site

$123.70K/yr

Use GenAI to create an agentic framework that enhances fraud detection efficiency. * As a member of the PFI team, you will work closely with other data scientists and data engineers to build, design ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site

$77.50K - $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 ...

Lendistry

Data Scientist I

Dallas, TX · On-site

The Data Scientist I will support the management and implementation of strategies on the decision ... modeling, fraud detection, and loss mitigation strategies. • Develop and apply advanced ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site +1

$77.50K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Data Scientist

San Antonio, TX

$77.50K - $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 ...

Lendistry

Sr. Data Scientist

Dallas, TX · On-site

Responsibilities : • Develop and maintain production‑ready credit risk, fraud detection, and ... data science deliverables from exploration through deployment and ongoing monitoring. • Create ...

Booz Allen Hamilton

Data Scientist

San Antonio, TX · On-site

$61.90K - $141K/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 ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Fort Worth, TX · On-site

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

AutoNation

Fraud Analyst 1

Irving, TX · On-site

Familiarity with fraud detection tools and software, including fraud scoring models and credit bureau data * Knowledge of synthetic identity theft, traditional identity theft, and other common fraud ...

BOK Financial

Fraud Prev & Detect Lead

Houston, TX

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

BOK Financial

Fraud Prev & Detect Lead

Irving, TX

The position requires a strong understanding of fraud prevention techniques, data analysis, and collaboration skills. Collaborate with cross-functional teams to develop and implement fraud detection ...

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Data Scientist Fraud Detection information

What are the key skills and qualifications needed to thrive as a Data Scientist in Fraud Detection, and why are they important?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

How does a Data Scientist in Fraud Detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What does a Data Scientist in Fraud Detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.

What is the difference between Data Scientist Fraud Detection vs Data Analyst Fraud Detection?

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Data Scientist Fraud Detection jobs in Texas? For Data Scientist Fraud Detection jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Fraud Detection jobs in Texas look for? The top searched job categories for Data Scientist Fraud Detection jobs in Texas are:
What cities in Texas are hiring for Data Scientist Fraud Detection jobs? Cities in Texas with the most Data Scientist Fraud Detection job openings:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in Texas as of May 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist

Kasmo Global

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Scientist III
Job ID : PPALJP00012157
Location: San Jose CA OR Chicago IL
Client - PayPal
Interview Type: Video
EXP - 7+ Years
Visa: ny visa
Interview Type: Video
Duration: 18+ months (High possibility of extension)
Job Title:
ToSkills:
BigQuery, Python
Understand the production systems architect and offline data overview
Machine Learning experience
What You'll Do
  • Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
  • Perform the statistical analysis on the feature transformation and business impact analytics
  • Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
  • Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

Test and evaluation; Processing and governance, monitoring;
Data analysis, decision engine serving 80+ checkpoint - lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation.
  • Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
  • Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers)
  • During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
  • Team work mostly within Jira board from tasks assignments and tracking.
  • Code would be in our centralized github repo.
  • Updates/documentation would be either in wiki page or our sharepoint/share drive.
  • You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
  • You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Nice to Have: Risk and Fraud experience or business acumen; experience working directly with engineers
Years of Experience: 6+
Degrees or Certifications: Masters preferred, solid BS is fine.

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