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Overnight Fraud Data Scientist Jobs in Springfield, IL

Ethos Risk Services

Investigator

Springfield, IL

... and fraud detection. At the forefront, we provide accurate data and actionable insights that ... overnight stays (covered by the company) may be required * Most surveillance cases start at 6:00AM.

Ethos Risk Services

Investigator

Springfield, IL · On-site

$28 - $38/hr

... and fraud detection. At the forefront, we provide accurate data and actionable insights that ... overnight stays (covered by the company) may be requiredMost surveillance cases start at 6:00AM.

Ethos Risk Services

Investigator

Springfield, IL · On-site

$28 - $38/hr

... and fraud detection. At the forefront, we provide accurate data and actionable insights that ... overnight stays (covered by the company) may be required * Most surveillance cases start at 6:00AM.

Kedrion S.p.A.

Center Manager

Springfield, IL · On-site

Bachelor's degree, preferably in Healthcare, Life Sciences, or Business Administration. * Minimum ... Proficiency with Microsoft Office Suite, data entry, and recordkeeping systems. * Ability to travel ...

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All JobsFraud Data Scientist JobsOvernight Fraud Data Scientist JobsOvernight Fraud Data Scientist Jobs in Springfield, IL

Overnight Fraud Data Scientist information

See Springfield, IL salary details

$45.6K

$163.6K

$241.3K

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 Springfield, IL is $163,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 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.
Overnight Fraud Data Scientist jobs near you

Data Analyst, Medicaid Fraud, Springfield, 26-03

North Carolina Department of Agriculture and Consumer Services

Springfield, IL • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
The Illinois Attorney General's Office is seeking a Data Analyst for the Medicaid Fraud Bureau. This role involves collecting, querying, and analyzing data to support case assessments and investigations, as well as preparing reports and acting as a liaison between various organizations.
Responsibilities:
• Collect, query, organize, and research data.
• Perform comprehensive data analysis in support of case assessment and investigative duties.
• Identify questionable practices, abnormalities and/or irregularities.
• Run queries using specialized databases.
• Develop data history analysis to support investigations.
• Prepare written reports supporting exhibits such as charts and graphs to support analysis.
• Act as a liaison between various organizations and agencies to develop and implement general and case specific information exchange.
Qualifications:
Required:
• Bachelor’s degree in economics, information technology, computer science, accounting, finance, business, or similar quantitative field
• Knowledge of Microsoft Office products
• Ability to demonstrate critical analysis
• Strong technological and problem-solving skills
• Ability to conduct research using law enforcement databases and open-source search tools
• Outstanding written and communication skills
• Attendance, flexibility, and the ability to build and maintain satisfactory working relationships with other agencies and OAG employees
Company:
The N.C. Founded in 1877, the company is headquartered in Raleigh, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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