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Overnight Fraud Data Scientist Jobs (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

Miami, FL ยท On-site

$116.25 - $155/hr

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 ...

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 Data Scientist, Fraud

Menlo Park, CA ยท On-site

$187 - $220/hr

About the Role The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat ...

Fraud Data Analyst

Cupertino, CA ยท On-site

$85 - $90/hr

Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems. * Communicate analytical findings and ...

Fraud Data Analyst

Richardson, TX ยท On-site +1

$77K - $132K/yr

This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently ...

Fraud Data Analyst

Richardson, TX ยท On-site

$77K - $132K/yr

This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently ...

New

This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently ...

NY ยท On-site

$120 - $180/hr

About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud -- building the models, experiments, and detection systems that protect millions of customers and ...

NY ยท On-site

$120 - $180/hr

About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud -- building the models, experiments, and detection systems that protect millions of customers and ...

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Overnight Fraud Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do overnight fraud data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for overnight fraud data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectOvernight Fraud Data ScientistFraud Analyst
CredentialsBachelor's/Master's in Data Science, Statistics, or related fieldBachelor's in Criminal Justice, Finance, or related field
Work EnvironmentData-driven, analytical, often remote or night shiftsCustomer service, investigation, on-site or remote during business hours
Industry UsageFinancial institutions, e-commerce, fintech companiesBanking, credit card companies, retail
Search/Comparison IntentUnderstanding technical data roles in fraud detectionOperational fraud investigation and customer support

The Overnight Fraud Data Scientist focuses on analyzing large datasets to develop models that detect fraud, often working overnight or remotely. In contrast, a Fraud Analyst typically investigates suspicious activity, reviews alerts, and interacts with customers during regular hours. Both roles are essential in fraud prevention but differ in technical expertise, work hours, and daily responsibilities.

How does an overnight fraud data scientist interact with other teams to detect and prevent fraud?

Overnight Fraud Data Scientists often work closely with fraud analysts, risk management teams, and IT professionals to monitor suspicious activity in real time. They are responsible for analyzing transaction data, developing detection models, and rapidly communicating findings to relevant stakeholders, even outside regular business hours. This collaboration ensures that fraud is identified and addressed promptly, minimizing potential losses for the organization. Being proactive and having strong communication skills are essential for effective teamwork in this fast-paced environment.

What skills and qualifications are needed to be an overnight fraud data scientist?

To excel as an Overnight Fraud Data Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant degree in fields such as computer science or mathematics. Familiarity with programming languages like Python or R, experience using big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection systems are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying fraudulent activity quickly and accurately during overnight hours to protect organizational assets and minimize risk.

What does an overnight fraud data scientist do?

An Overnight Fraud Data Scientist is responsible for analyzing transaction data and monitoring for fraudulent activity during nighttime hours when fewer staff are present. They use statistical models, machine learning, and data analysis tools to detect unusual patterns that may indicate fraud, helping organizations minimize risk and financial losses. Their role often involves real-time monitoring, rapid response to alerts, and collaborating with other teams to improve detection systems. Overnight shifts are crucial as fraudulent activities may spike outside typical business hours, requiring constant vigilance.

What cities are hiring for Overnight Fraud Data Scientist jobs?

Cities with the most Overnight Fraud Data Scientist job openings:

What are the most commonly searched types of Fraud Data Scientist jobs?

The most popular types of Fraud Data Scientist jobs are:

What states have the most Overnight Fraud Data Scientist jobs?

States with the most job openings for Overnight Fraud Data Scientist jobs include:

Infographic showing various Overnight Fraud Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Fraud Data Scientist

Gemini

New York, NY โ€ข On-site, Remote

Full-time

Medical, Retirement

Re-posted 5 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,ย safeguarding funds, and upholding the integrity of Gemini's digital asset marketplace - all whileย operating at scale to deliver a seamless experience for our users. Our diverse team bringsย expertise across technology, legal, risk, data, and operations, leveraging advanced tools andย analytics to protect users and disrupt fraud. We collaborate closely with product, engineering,ย operations, and compliance teams to manage risk effectively and support sustainable businessย 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 preventionย 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,ย 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
ย 
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.

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