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Data Scientist Fraud Detection Jobs in Schaumburg, IL

Kasmo Global

Data Scientist

Chicago, IL · On-site

Data Scientist III Location: San Jose CA OR Chicago IL Client - PayPal Interview Type: Video EXP ... fraud detection platform. * Collaborate across multidisciplinary teams in engineering, product ...

PayPal

Staff Data Scientist

Chicago, IL

$160.50K - $238.70K/yr

Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights ... Lead and manage data science projects, ensuring timely delivery and alignment with business goals.

PayPal, Inc.

Staff Data Scientist

Chicago, IL · On-site

$160.50K - $238.70K/yr

Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights ... Lead and manage data science projects, ensuring timely delivery and alignment with business goals.

Young Innovations

Data Scientist (38948)

Algonquin, IL · Hybrid

$120K - $140K/yr

Data Scientist Hybrid • Algonquin, IL 60102 Overview Salary Range $120,000.00 - $140,000.00 ... strategies, fraud detection, and other high-impact business functions. * Stay up to date with ...

ClifyX

Data Scientist

Chicago, IL · On-site

... fraud, identifying subrogation opportunities, etc. Primary focus will be in applying data mining ... Creating automated anomaly detection systems and constant tracking of its performance Skills and ...

Kasmo Global

Machine Learning Engineer

Chicago, IL · On-site

... fraud detection • Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention. • Collaborate with data scientists and ...

Adyen

Merchant Fraud Analyst

Chicago, IL · On-site

$85K - $110K/yr

... using data to identify emerging trends, drive investigations, and suggest improvements to fraud operations policies and tooling * Experience with fraud prevention, fraud detection, fraud ...

Adyen

Merchant Fraud Analyst

Chicago, IL · On-site

$85K - $110K/yr

... using data to identify emerging trends, drive investigations, and suggest improvements to fraud operations policies and tooling * Experience with fraud prevention, fraud detection, fraud ...

Citizens

Fraud Risk Analytics Manager

Chicago, IL · Hybrid

$105K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

Citizens

Fraud Risk Analytics Manager

Chicago, IL · Hybrid

$105K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

Transunion

Senior Data Scientist

Chicago, IL · On-site

$88.75K - $141.25K/yr

As a Senior Data Scientist , you're responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients primarily for fraud prevention but ...

TransUnion

Senior Data Scientist

Chicago, IL · On-site

$88.75K - $141.25K/yr

As a Senior Data Scientist , you're responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients primarily for fraud prevention but ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Your way to impact: • Own the areas of Fraud risk policy: Work on Broad area of projects from ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Your way to impact: • Own the areas of Fraud risk policy: Work on Broad area of projects from ...

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All JobsData Scientist Fraud Detection JobsData Scientist Fraud Detection Jobs in Schaumburg, IL

Data Scientist Fraud Detection information

See Schaumburg, IL salary details

$36.8K

$120.5K

$193K

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

As of May 28, 2026, the average yearly pay for data scientist fraud detection in Schaumburg, IL is $120,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in Fraud Detection, and why are they important?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

How does a Data Scientist in Fraud Detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What does a Data Scientist in Fraud Detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.

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

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Data Scientist Fraud Detection jobs in Schaumburg, IL? For Data Scientist Fraud Detection jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist Fraud Detection jobs in Schaumburg, IL look for? The top searched job categories for Data Scientist Fraud Detection jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Data Scientist Fraud Detection jobs? Cities near Schaumburg, IL with the most Data Scientist Fraud Detection job openings:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in Schaumburg, IL as of May 2026, with employment types broken down into 64% Full Time, 20% Part Time, 12% Contract, and 4% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $120,525 per year, or $57.9 per hour.

Data Scientist

Kasmo Global

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist III

Location: San Jose CA OR Chicago IL Client - PayPal Interview Type: Video EXP - 7+ Years

Visa: Any visa Interview Type: Video Duration: 18+ months (High possibility of extension)

ToSkills: BigQuery, Python Understand the production systems architect and offline data overview Machine Learning experience

What You'll Do

  • Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
  • Perform the statistical analysis on the feature transformation and business impact analytics
  • Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
  • Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

Test and evaluation; Processing and governance, monitoring; Data analysis, decision engine serving 80+ checkpoint – lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation.

  • Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
  • Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers)
  • During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
  • Team work mostly within Jira board from tasks assignments and tracking.
  • Code would be in our centralized github repo.
  • Updates/documentation would be either in wiki page or our sharepoint/share drive.
  • You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
  • You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Nice to Have: Risk and Fraud experience or business acumen; experience working directly with engineers Years of Experience: 6+ Degrees or Certifications: Masters preferred, solid BS is fine.

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