1

Data Scientist Fraud Detection Jobs in Schaumburg, IL

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

You will leverage data, analytics, and cross-functional collaboration to design fraud prevention ... Develop and implement fraud detection rules using segmentation, predictive models, hypothesis ...

Analyst, Fraud Strategy

Chicago, IL · On-site

$96K - $102K/yr

You will leverage data, analytics, and cross-functional collaboration to design fraud prevention ... Develop and implement fraud detection rules using segmentation, predictive models, hypothesis ...

You will leverage data, analytics, and cross-functional collaboration to design fraud prevention ... Develop and implement fraud detection rules using segmentation, predictive models, hypothesis ...

Work experience in industries served by TransUnion, such as financial services, insurance, fraud ... TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

Work experience in industries served by TransUnion, such as financial services, insurance, fraud ... TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

Data Scientist

Chicago, IL

$67.50K - $112.50K/yr

Work experience in industries served by TransUnion, such as financial services, insurance, fraud ... TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

Data Scientist Marmon Foodservice Technologies, Inc. is a part of the global industrial ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

Data Scientist

Chicago, IL

$67.50K - $112.50K/yr

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

next page

Showing results 1-20

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:
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.
Sr Data Scientist

Full-time

Medical, PTO

Posted 18 days ago


PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

15th of 17 rated payment service providers


Job description

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Description:

Essential Responsibilities:

  • Lead the development and implementation of advanced data science models.
  • Collaborate with stakeholders to understand requirements.
  • Drive best practices in data science.
  • Ensure data quality and integrity in all processes.
  • Mentor and guide junior data scientists.
  • Stay updated with the latest trends in data science.

Minimum Qualifications:

  • 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

Your way to impact:

Own the areas of Fraud risk policy:Work on Broad area of projects from card riskstrategies, acquisitionand payment risk strategies, all depending on the business need.

Work closely with Stakeholders: this includes Credit Risk, Product,finance teams to optimize fraud strategies and portfolio performance.

Proactively identify emerging fraud trendsand propose mitigation strategies.

Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders.

Present regular updates to senior leaders: on Portfolio Health, highlights,lowlights,and actionable insights.

Your day to day:

In this role you will have full ownership of portfolio and is responsible for end-to-end management ofFraudloss and decline rates.

Works independently and proficiently. Accountable for own results.

Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines.

Analyze and assess risks to provide informed recommendations for mitigation strategies

Prepare periodicKPIreports summarizing the business units' risk and control environment for senior management

What do you need to bring:

4+ years of domain expertise

Excellent Problem-Solving Skills:Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges.

Advanced Analytics expertise:Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems.

Exceptional communication skills:Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences

Collaboration & Influence: Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork

Experience inPayments /Transaction risk management / Credit / Fraud Risk is a strong plus.

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Subsidiary:

PayPal

Travel Percent:

0

-

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

Chicago, Illinois | ($130,500.00 - $193,600.00 Annually)

Additional Location(s) | Pay Range:

No other locations are assigned to this requisition currently.Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.


What PayPal employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


PayPal logo

About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

Social media