1

Fraud Data Scientist Jobs in Edison, NJ (NOW HIRING)

Senior Fraud Data Scientist As a Senior Fraud Data Scientist, you will play a critical role in protecting Gemini and our customers from emerging fraud risks. You'll lead initiatives to strengthen our ...

Senior Fraud Data Scientist As a Senior Fraud Data Scientist, you will play a critical role in protecting Gemini and our customers from emerging fraud risks. You'll lead initiatives to strengthen our ...

Data Scientist - Fraud Risk

New York, NY · On-site +1

$190K - $230K/yr

Background in identity risk, AML, payments fraud, or compliance analytics * Fluency in AI-assisted data analysis / data science tooling Things that enable a fulfilling, healthy, and happy experience ...

Data Scientist, Safety

New York, NY · On-site

$230K - $325K/yr

Detect fraud, manipulation, coordinated misuse * Evaluate and improve safety classifiers, rules ... Data Scientists who thrive in ambiguous, high-leverage environments. You may be a fit if you have:

Senior Data Scientist

New York, NY · On-site

$136K - $209K/yr

DailyPay is seeking a Senior Data Scientist to join our Data Science team. This is a high-impact ... fraud controls. You will contribute to the data infrastructure the team needs and follow ...

DailyPay is seeking a Senior Data Scientist to join our Data Science team. This is a high-impact ... fraud controls. You will contribute to the data infrastructure the team needs and follow ...

Data Scientist

New York, NY · On-site

$175K - $210K/yr

You've worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway. This is a highly technical, hands-on role ...

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

As Data Scientist at Findigs, you will strengthen our data science and applied machine learning ... Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud ...

Data Scientist II

New York, NY · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

As Data Scientist at Findigs, you will strengthen our data science and applied machine learning ... Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud ...

Data Scientist, Cybersecurity

New York, NY · On-site +1

$263K - $515K/yr

About the Team OpenAI's Agentic Data Science team helps shape how AI agents are built, deployed ... Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform ...

Data Scientist I

New York, NY · On-site

$119K - $156K/yr

We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Data Scientist I

New York, NY · Hybrid

$119K - $156K/yr

We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Deep experience in building data science solutions in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization.

next page

Showing results 1-20

Fraud Data Scientist information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do fraud data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for fraud data scientist in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

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 popular job titles related to Fraud Data Scientist jobs in Edison, NJ?

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

What cities near Edison, NJ are hiring for Fraud Data Scientist jobs?

Cities near Edison, NJ with the most Fraud Data Scientist job openings:

Infographic showing various Fraud Data Scientist job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $170,835 per year, or $82.1 per hour.

Senior Fraud Data Scientist

Gemini

New York, NY • On-site, Remote

Full-time

Medical, Retirement

Re-posted 19 days ago


Job description

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Fraud Operations

The Fraud Operations team is committed to protecting our users by stopping bad actors, safeguarding funds, and upholding the integrity of Gemini's digital asset marketplace - all while operating at scale to deliver a seamless experience for our users. Our diverse team brings expertise across technology, legal, risk, data, and operations, leveraging advanced tools and analytics to protect users and disrupt fraud. We collaborate closely with product, engineering, operations, and compliance teams to manage risk effectively and support sustainable business growth.

The Role: Senior Fraud Data Scientist

As a Senior Fraud Data Scientist, you will play a critical role in protecting Gemini and our customers from emerging fraud risks. You'll lead initiatives to strengthen our fraud prevention strategies, design and implement effective rules and controls, and proactively mitigate risk before it impacts our platform. Your work will range from evaluating fraud exposure to driving cross-functional projects that enhance detection capabilities and safeguard customer trust.

You are strategic, detail-oriented, and collaborative, with the ability to navigate complex risk landscapes while balancing prevention with a seamless customer experience. You thrive in fast-paced environments, excel at working independently, and bring deep subject matter expertise in fraud trends and mitigation techniques.

This role requires strong experience with fraud detection systems, risk management methodologies, and regulatory frameworks. You'll partner closely with teams across product, engineering, operations, and compliance to deliver impactful improvements to risk controls. Strong analytical and technical skills are essential, including expert level proficiency in SQL (and other data tools), along with the ability to design, manage, and measure the effectiveness of fraud prevention rules.

This role requires on-call rotations.

Responsibilities:

  • Program Development: Design and lead the development of end-to-end fraud prevention and detection strategies, including procedures, fraud rules, and controls.
  • Risk Analysis: Conduct sophisticated data analysis on large datasets (structured and unstructured) to identify emerging fraud trends, patterns, and potential risks.
  • Monitoring & Optimization: Continuously monitor fraud prevention system performance, measure key risk metrics, and implement data-driven enhancements to improve accuracy and reduce false positives.
  • Cross-Functional Collaboration: Partner with data science, risk operations, product, engineering, and customer support teams to integrate fraud prevention into products and services.
  • Project Management: Oversee initiatives aimed at advancing fraud detection systems and optimizing operational processes.
  • Reporting & Communication: Develop and deliver clear, actionable reports and insights for leadership and stakeholders, highlighting fraud risk exposure and the effectiveness of strategies and controls.

Minimum Qualifications:

  • 5+ years in fraud strategy, program management, or related risk management roles.
  • Advanced analytical skills with proficiency in SQL, Python, Looker, and other data analysis and visualization tools.
  • Hands-on experience with fraud detection and monitoring platforms, with the ability to analyze data and identify emerging fraud patterns.
  • Strong verbal, written, and interpersonal skills with the ability to convey complex ideas clearly to both technical and non-technical audiences.
  • Track record of working effectively across cross-functional teams (e.g., product, engineering, operations, compliance) to achieve shared goals.
  • Comfortable making sound decisions in ambiguous or rapidly changing environments; skilled at using data to drive informed choices.
  • Demonstrated ability to lead and execute projects spanning multiple teams, balancing priorities and driving results.
  • Strong critical-thinking skills with the ability to stay composed under pressure and resolve complex issues.

Preferred Qualifications:

  • Strong expertise in detecting and mitigating fraud risk, including account takeover, synthetic identity, distributed attacks, payment fraud, and collusion.
  • Proven experience addressing and preventing fraud in digital channels and card-not-present environments.
  • In depth knowledge of ACH risks, including reversal flows and related vulnerabilities.
  • Background working in fast paced, high growth environments, ideally within fintech or other technology driven industries.
  • Comprehensive understanding of scam, phishing, and social engineering threats with experience implementing effective mitigation strategies.
  • Knowledge of dispute representment requirements and industry best practices.
  • Proven ability to thrive in fast paced, technology driven environments and adapt quickly to change.
  • Familiarity with financial markets, banking, or digital asset exchanges.
It Pays to Work Here
 
The compensation & benefits package for this role includes:
  • Competitive starting pay
  • A discretionary annual bonus
  • Long-term incentive in the form of a new hire equity grant
  • Comprehensive health plans
  • 401K with company matching
  • Paid Parental Leave
  • Flexible time off

Salary Range: The base salary range for this role is between $116,250 - $155,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. All employees, however, are required to onboard in-person at one of our office locations.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-MW1