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Fraud Data Scientist Jobs in Georgia (NOW HIRING)

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital payment security across mobile and digital wallet platforms (e.g., Apple Pay, Google Pay, Samsung ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital payment security across mobile and digital wallet platforms (e.g., Apple Pay, Google Pay, Samsung ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll ...

New

Booz Allen Hamilton

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll ...

New

Booz Allen Hamilton

Data Scientist

Atlanta, GA

$99K - $225K/yr

Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team,you ...

New

Booz Allen Hamilton

Health Data Scientist

Atlanta, GA · On-site

$87 - $198/hr

As a data health scientist, you know that organizing data can yield pivotal insights when it ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Sonatype

Data Scientist

Atlanta, GA · On-site +1

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... Exposure to cybersecurity, fraud detection, anomaly detection, code analysis, or software supply ...

Kemper

Data Scientist

Alpharetta, GA · Hybrid

... fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims ... data science/ predictive analytics environment preferred. * Self-directed and able to work with ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... Across private and public sectors--from fraud detection to cancer research to national intelligence ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$179.09/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... Across private and public sectors--from fraud detection to cancer research to national intelligence ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Responsibilities As a data scientist, you're excited at the prospect of unlocking the secrets held ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

Responsibilities As a data scientist, you're excited at the prospect of unlocking the secrets held ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

Health Data Scientist

Atlanta, GA

$86K - $198K/yr

As a data health scientist, you know that organizing data can yield pivotal insights whenit ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

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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 Georgia?

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

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

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

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

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

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

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

Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 8% Part Time, and 11% Contract. Highlights an 74% In-person, 10% Hybrid, and 16% Remote job distribution.

Senior Data Scientist - Fraud

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 23 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a strong Data Scientist who can utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space.
Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will come from a fraud background, deeply understanding the importance of fraud in the credit data space.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.
  • Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.
  • Develop customer fraud models with exposure to various fraud types (e.g., account takeover, identity theft, payment fraud).
  • End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise.
  • Design and build novel algorithms to enhance our data governance, quality, and metadata management capabilities, creating new ways to automatically know and manage our data assets.
  • Proactively collect, analyze, and interpret existing internal data and evaluate new, external data sources to identify and propose new product opportunities for our business units.
  • Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.
  • Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence.
  • Translate complex analytical findings and research outputs into clear, compelling presentations and strategic recommendations for diverse stakeholders, including senior leadership.
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
  • Lead the analytical strategy on critical technical capabilities for global company solutions.
  • Work with key stakeholders to support development of proprietary analytical products and custom scores, effectively communicating the "so what" of the analysis using strong data visualizations and business language.
  • Contribute to the evaluation of external data sources and data science capabilities, providing due diligence recommendations.

What experience you need
  • A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 7-10+ years of hands-on experience building and deploying production-level data science solutions using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks,
  • Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc.
  • 4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
  • 4+ years of experience to work with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, GCP-Preferred).
  • Deep knowledge of classical machine learning, statistical modeling, and NLP. You should have a strong command of supervised and unsupervised learning, time-series analysis, and model validation techniques
  • Excellent verbal and written communication skills, with a proven ability to collaborate effectively with cross-functional teams and present complex topics to non-technical audiences
  • 1+ year of experience mentoring junior data scientists
  • 2+ years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future
  • Experience with development and deployment of models in a cloud-based environment such as AWS or GCP.
  • Background in, and an innate talent and passion for, trying new technologies and quickly assessing value and implementability within organizations.
  • Hunger for innovation and ability to switch between multiple projects at once.

What could set you apart
  • Extensive experience in developing and deploying production-level Fraud and Credit risk models.
  • Extensive experience in building, fine-tuning, and productionizing GenAI and LLM solutions (e.g., RAG, fine-tuning, LLM orchestration).
  • Demonstrable, hands-on experience building and fine-tuning LLMs, developing Retrieval-Augmented Generation (RAG) systems, and understanding the MLOps lifecycle for GenAI.
  • Prior experience working in the financial services industry (e.g., risk modeling, algorithmic trading, fraud detection, or compliance).
  • A portfolio or past experience building models specifically for data management (e.g., data quality anomaly detection, PII identification, automated data cataloging).
  • A history of publishing research in relevant AI/ML conferences or contributing to major open-source data science projects.
  • Knowledge in graph mining and graph data model
  • Innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.
  • Demonstrable experience with identity graphs and graph-related technologies is a plus.

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

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Benefits

Hours and flexibility

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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