Remote Fraud Detection Data Scientist Jobs in New York City

Remote Fraud Detection Data Scientist Jobs in New York City

Join the Mission to Outsmart Digital Fraudsters

Do you have a knack for pattern recognition and a passion for data that makes a difference? We're seeking a Remote Fraud Detection Data Scientist ready to lead innovative fraud analytics projects that secure billions in transactions. This role isn’t just about crunching numbers—it’s about building trust in an increasingly digital world. If you're a strategic thinker, a creative problem-solver, and a tech enthusiast with a sharp eye for anomalies, we want to hear from you.

About the Opportunity

In an age where digital transactions dominate, the battle against fraud is evolving. Our organization is pioneering the frontier of intelligent fraud detection. We’re not only responding to threats—we’re staying steps ahead. Here, you’ll work remotely with a forward-thinking analytics team based in New York City, leveraging powerful tools to decode complex fraud patterns in real-time. With $180,535 in annual compensation, this role rewards innovation, dedication, and impact. It's more than a job—it’s a calling to protect systems, customers, and the integrity of digital commerce.

What You'll Be Doing

Analyzing Complex Patterns

• Develop machine learning models to detect suspicious behavior before it escalates.
• Apply statistical methods to massive datasets to uncover unusual activity trends.
• Continuously refine fraud detection algorithms based on real-world feedback.

Collaborating Across Domains

• Partner with risk managers, engineers, and cybersecurity experts to enhance fraud mitigation.
• Interpret findings and communicate risk intelligence to both technical and non-technical stakeholders.
• Translate behavioral data into actionable insights that strengthen our detection capabilities.

Innovating with Data Science

• Push the boundaries of what’s possible with AI-powered fraud analytics.
• Integrate third-party data sources to enrich model accuracy and prediction capabilities.
• Evaluate new tools and techniques in the ever-expanding field of data security science.

A Work Culture Built on Innovation and Impact

We don’t just adapt to change—we create it. Here’s what makes our environment energizing:

A Remote-First Mindset

• Work from anywhere while contributing to high-impact fraud prevention initiatives.
• Engage with a supportive virtual team that thrives on asynchronous communication.

High-Powered Collaboration

• Weekly brainstorm sessions to explore new fraud vectors and prevention techniques.
• An inclusive environment where every voice matters and unique perspectives fuel innovation.

A Mission That Matters

• Help create safer digital experiences for millions of users.
• Build solutions that redefine what’s possible in fraud detection systems.

Tools and Technologies You’ll Use

Modern Fraud Intelligence Stack

• Python, R, and Scala for predictive modeling
• Apache Spark and Hadoop for processing large-scale behavioral data
• SQL and Snowflake for structured analysis
• AWS, GCP, and Azure for cloud-based model deployment
• Graph analytics tools like Neo4j for detecting network-based fraud

We believe in using the right tool for the right problem—experimentation is encouraged.

What Makes You a Strong Fit

We value diverse experiences. But to thrive in this role, you'll likely bring:

Academic & Professional Background

• Advanced degree (Master’s or Ph.D.) in Data Science, Applied Mathematics, or Computer Science
• 5+ years of professional experience in data science, with at least 2 years focused on fraud detection or risk analytics

Analytical Strengths

• Proven ability to develop and validate machine learning models
• Deep understanding of anomaly detection, supervised and unsupervised learning, and time series analysis
• Proficiency in querying and manipulating large datasets for pattern discovery

Communication and Collaboration

• Strong storytelling ability through data visualizations and written reports
• Comfort working with distributed teams and communicating ideas clearly across disciplines.

Strategic Thinking

• Enthusiasm for staying ahead of fraud trends
• Creative thinker who enjoys testing new hypotheses and refining them through data

Why This Role Stands Out

This isn’t a job where you’re boxed in. You’ll gain autonomy to explore cutting-edge detection methods and continuously evolve your fraud analytics craft. You’ll have a front-row seat to the rising digital threat landscape—and the tools to help intercept it. If you're looking for a role where your ideas truly matter and your expertise shapes outcomes, this is the one. You’ll also get:

• Generous annual compensation of $180,535
• Flexible remote work with optional in-person meetups in NYC
• A tech-forward environment that rewards curiosity and experimentation
• Inclusive culture rooted in creativity, courage, and community

How You’ll Grow

Career Advancement Opportunities

• Lead projects that build your reputation as a domain expert in fraud detection
• Get mentorship from data science leaders pushing the envelope in digital security
• Access continuing education resources and budget to keep your skills sharp

Impact Beyond the Numbers

• Contribute to a global mission of trust and transparency
• Watch your models protect real users in real-time—your work won’t sit on a shelf

Ready to Build Safer Digital Systems?

Are you energized by outsmarting fraud with creativity, collaboration, and cutting-edge data science? Are you eager to contribute to a mission directly impacting global security and commerce? Then this is your moment. Let’s stop fraud in its tracks—together. Apply now and become a pivotal part of a high-impact, remote-first team transforming the future of fraud detection.