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Fraud Data Scientist Jobs in Boca Raton, FL (NOW HIRING)

Work closely with data engineering and data science teams to operationalize insights. * Develop ... Experience in BFSI domain (banking, cards, risk, fraud, customer analytics). * Exposure to Big Data ...

... Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis ... Analyze large-scale usage datasets using SQL and data science methodologies to identify trends ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

... Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis ... Our purpose is to benefit society by developing products that help researchers advance scientific ...

Inside Sales Engineer

Fort Lauderdale, FL · On-site

$57K - $72K/yr

Recruitment Fraud Alert We've learned that scammers are impersonating Commvault team members ... The company's unique AI-powered platform combines best-in-class data protection, exceptional data ...

Fraud Data Scientist information

See Boca Raton, FL salary details

$43.7K

$156.6K

$231.1K

How much do fraud data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for fraud data scientist in Boca Raton, FL is $156,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,700.00 and $161,300.00 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 job?

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 popular job titles related to Fraud Data Scientist jobs in Boca Raton, FL? For Fraud Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Fraud Data Scientist jobs in Boca Raton, FL look for? The top searched job categories for Fraud Data Scientist jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Fraud Data Scientist jobs? Cities near Boca Raton, FL with the most Fraud Data Scientist job openings:
Infographic showing various Fraud Data Scientist job openings in Boca Raton, FL as of June 2026, with employment types broken down into 1% Internship, 12% Full Time, and 87% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $156,596 per year, or $75.3 per hour.
Data Mining Manager

Other

Posted 12 days ago


Job description

Job Title: Data Mining Manager
Location: Sunrise, FL
Duration: Fulltime
Skills : Data mining
Salary: 90K - 125K/Year
Roles and Responsibilities:
Experience Required - 8+ Years
We are looking for a Data Mining developer with strong analytical skills to work on large, complex datasets and uncover actionable business insights. The role involves applying data mining, statistical, and machine learning techniques to solve real-world business problems, particularly in Banking, Financial Services, and Insurance (BFSI) domains.
Must Have Technical/Functional Skills
  • nalyze large structured and semi-structured datasets to identify patterns, trends, and relationships.
  • pply data mining techniques such as clustering, classification, association rules, and anomaly detection.
  • Build and validate analytical and predictive models to support business decision-making.
  • Perform data preparation activities including data cleaning, transformation, and feature engineering.
  • Collaborate with business stakeholders to translate business problems into analytical use cases.
  • Work closely with data engineering and data science teams to operationalize insights.
  • Develop dashboards, reports, and presentations to communicate insights effectively.
  • Ensure data quality, governance, and compliance with enterprise and regulatory standards.
  • Explore and apply AI/ML techniques to enhance analytical insights where applicable.
Roles & Responsibilities
  • Strong experience in data mining and statistical analysis on large datasets.
  • Proficiency in SQL for data extraction and analysis.
  • Hands-on experience with Python and/or R for data analysis and modeling.
  • Knowledge of data mining and ML algorithms (e.g., decision trees, random forest, regression, clustering).
  • Experience with data visualization tools (Power BI, Tableau, or similar).
  • Strong analytical thinking and problem-solving skills.
  • bility to work with large datasets in enterprise environments.

Preferred / Good-to-Have Skills
  • Experience in BFSI domain (banking, cards, risk, fraud, customer analytics).
  • Exposure to Big Data technologies (Spark, Hadoop).
  • Experience with AI-driven analytics or GenAI-based insight generation.
  • Familiarity with cloud platforms (GCP).
  • Understanding of data governance, privacy, and regulatory requirements.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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