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Computer Science Statistics Jobs in Naperville, IL

Sr Data Scientist

Chicago, IL · On-site

$142 - $222/hr

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors include Data Science, Data Engineering, MIS, Business ...

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline. * 5 to 7 ...

Showing results 21-40

Computer Science Statistics information

See Naperville, IL salary details

$37.4K

$122.6K

$196.2K

How much do computer science statistics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science statistics in Naperville, IL is $122,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are popular job titles related to Computer Science Statistics jobs in Naperville, IL?

For Computer Science Statistics jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Naperville, IL look for?

The top searched job categories for Computer Science Statistics jobs in Naperville, IL are:

Infographic showing various Computer Science Statistics job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $122,556 per year, or $58.9 per hour.

Sr Data Scientist

PayPal

Chicago, IL • On-site

$142 - $222/hr

Other

Medical, PTO

Re-posted 29 days ago


PayPal rating

6.9

Company rating: 6.9 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

19th of 21 rated payment service providers


Job description

The CompanyPayPal 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:Job Description:Bill Me Later, Inc., a wholly-owned subsidiary of PayPal, Inc., seeks Sr Data Scientist in Chicago, ILJob Duties: Analyze large, complex datasets to extract actionable insights that inform the project roadmap using advanced proficiency in Python, SQL, and other data science/analytical tools. Translate complex analytical, statistical, and modeling results into actionable, concise insights tailored for a range of stakeholders, including technical and non-technical audiences, using experience handling large, complex data sets and building end-toend data pipelines. Design, develop, and implement robust Machine Learning and/or AI models to support Net Credit Loss (NCL) forecasting, reserve setting, and ongoing model monitoring. Ensure models comply with internal standards and regulatory requirements, including CECL/IFRS9 where applicable. Design and analyze experiments (A/B, holdouts, quasi-experimentation methods) to validate hypotheses and quantify impact on key outcomes with statistical rigor. Enhance and automate existing NCL forecasting processes, driving continuous improvements in accuracy, scalability, and efficiency. Maintain clear documentation and version control of all modeling procedures and code. Partner with Finance, Strategy, Collections, Risk, and Business teams to ensure accurate forecasting, effective stress testing, and appropriate reserve setting. Monitor and validate model performance, manage model risk, and support regular compliance reviews and audits in line with relevant regulatory standards and best practices. Utilize experience with cloud-based solutions and version control (e.g., Git). Link analytical findings to business context, influencing key business decisions, and designing forward-looking strategies for risk mitigation and profit optimization. Partial telecommuting permitted from a commutable distance.Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering or a closely related field plus seven years of experience in the job offered or a related occupation.Special Skill Requirements:1. Experience in developing credit risk models and collection strategies using statistical techniques (5 years)2. Experience in Python programming for data analysis and machine learning (2 years)3. Experience in SQL querying and relational database analysis, including complex joins, CTEs, and window functions (5 years)4. Experience in Machine Learning algorithms including multivariate linear regressions, logistic regression, gradient boosting, decision trees, and XGBoost, and relevant techniques like data cleaning, exploratory data analysis, feature engineering, model evaluation, and hyperparameter tuning to optimize model performance (2 years)5. Experience in profitability analysis, vintage monitoring and financial performance modeling for consumer credit products (5 years)6. Experience in developing performance reporting and exceptions monitoring dashboards using data visualization tools including Tableau and Microsoft Excel (5 years)7. Experience in A/B testing for enhancing collection strategies and portfolio performance (5 years)8. Experience in Jira for model risk management, project management, and issue tracking (2 years)9. Experience in cloud-based computing platforms like Snowflake, data pipeline management tools like Apache Airflow, and version control tools like Github (2 years)10. Experience in end-to-end delivery of machine learning models and collection strategies including requirements, development, deployment, validation, and monitoring (2 years).Additional Responsibilities & Preferred Qualifications:EOE, including disability/vets.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, IL | Salary: $142,210.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. For benefits summary please visit: https://www.paypalbenefits.com.Must be legally authorized to work in the U.S. without sponsorship.Subsidiary:PayPalTravel Percent:0PayPal 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:Commitment to Diversity and InclusionPayPal 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. #J-18808-Ljbffr

What PayPal employees say

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Benefits

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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

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