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Computer Science Statistics Jobs in Naperville, IL

Young Innovations, Inc

Data Scientist (38948)

Algonquin, IL · On-site

$120K - $140K/yr

Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; * Masters, MBA and/or PhD a plus * 3+ years of professional experience in data science, analytics, or ...

Hirose Electric USA

Data Scientist

Downers Grove, IL · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master's preferred) * Strong analytical thinking with the ability to solve complex business problems ...

IBM

Research Scientist

Chicago, IL · On-site

Experience in academic graduate program related to applicable fields (e.g., quantum computing, quantum algorithms, machine learning, computer science, statistics, information theory). * Experience ...

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site +1

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field**Preferred Qualifications:**- Understanding of digital advertising or media analytics- Experience with ...

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications: - Understanding of digital advertising or media analytics - Experience with ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site

Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline. * Demonstrated success delivering end-to-end data science solutions in ...

PepsiCo

Senior Data Scientist

Chicago, IL · On-site

$93K - $156K/yr

Education : Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required. * Master's is preferred.

PepsiCo

Senior Data Scientist

Chicago, IL

$93K - $156K/yr

Education : Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required. * Master's is preferred.

Varsity Tutors

AP Statistics Tutor

Oak Lawn, IL · Remote

$40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Varsity Tutors

AP Statistics Tutor

Des Plaines, IL · Remote

$40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Varsity Tutors

AP Statistics Tutor

Chicago, IL · Remote

$40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

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$37.4K

$122.6K

$196.2K

How much do computer science statistics jobs pay per year?

As of Jun 7, 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 job?

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 are the most common projects or tasks for professionals in Computer Science Statistics roles?

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 are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

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.

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:
Computer Science Statistics jobs near you

Data Scientist (38948)

Young Innovations, Inc

Algonquin, IL • On-site

$120K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Company Summary:
At Young Innovations, we foster a dynamic environment where team members make an impact every day as part of a collaborative, inclusive culture. Together, we serve the dental profession and their patients, united in our mission of achieving a Lifetime of Oral Health™
We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you're looking to expand your skills or grow your career, Young is here to support your goals and continuous learning. At Young, YOU are at the core of what we do.
Position Overview:
The Data Scientist will drive adoption and implementation of artificial intelligence, machine learning, and strategic analytics within our global data Fabric environment. This Data Scientist is ideal for someone with a strong foundation in statistical analysis, machine learning, and natural language processing, particularly in the application and fine-tuning of Large Language Models (LLMs). This professional will bring expertise in correlation analysis, predictive modeling, and the ability to work with large, complex datasets to drive data-driven decision-making across the organization.
You'll like this role if:
  • You like building processes from the ground up
  • Partnering across the business
  • Wearing multiple hats in a face paced environment

Why You'll Love Working Here:
  • Medium sized company - not too big, not too small - just enough to get things done and see your impact.
  • Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more!
  • You will have the ability to create everything from the ground up and fully own this function.

Who you'll work with:
  • Stakeholders from all across the business - IT, Supply Chain, Finance, Marketing, and more.

What You'll Do:
  • AI/ML Development & Integration
    • Integrate large language models (LLMs)-such as OpenAI, BERT, and LLaMA-into business processes and products to enable text summarization, classification, personalized recommendations, and conversational interfaces.
    • Build and optimize predictive models using advanced machine learning techniques to support forecasting, customer segmentation, retention strategies, fraud detection, and other high-impact business functions.
    • Stay up to date with advancements in AI/ML, NLP, and data analytics; proactively recommend new tools, frameworks, and best practices to enhance capabilities.
  • Statistical & Analytical Modeling
    • Perform statistical analyses to uncover correlations and causal relationships across structured and unstructured data, identifying key drivers of business performance and emerging trends.
    • Develop customer segmentation frameworks by analyzing behavioral, transactional, and demographic data to support personalized marketing and engagement initiatives.
    • Translate complex results into clear, actionable insights through dashboards, visualizations, and reports for both technical and non-technical audiences.
    • Leverage large-scale datasets (e.g., customer interactions, transaction records) using distributed computing and modern data platforms to support data-driven decision-making.
  • Cross Functional & Strategic Collaboration
    • Partner with Product, Marketing, Commercial, Customer Service, Finance, and Operations teams to understand analytical needs and deliver impactful solutions.
    • Support enterprise-wide initiatives, including M&A data integration and other strategic analytics projects.

What You'll Bring:
  • Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field;
  • Masters, MBA and/or PhD a plus
  • 3+ years of professional experience in data science, analytics, or machine learning roles
  • Hands-on experience working with and implementing Large Language Models (LLMs) and NLP techniques
  • Experience working in a private equity is a plus

Technical Skills
  • Strong foundation in statistical analysis and predictive modeling, including correlation analysis, hypothesis testing, regression, classifications, and time-series forecasting using tools like Phython (SciPy, statsmodels), R, or SaaS
  • Experience working with large datasets and data warehouses using SQL and cloud platforms (i.e. AWS, GCP, Azure)
  • Strong proficiency in Python and experience with ML frameworks (ie. PyTorch, TensorFlow)

The pay range reflects the minimum and maximum target for the position at the time of posting. Within the range, the compensation will be determined based on education/training, skill set, experience, and other organizational needs.
Physical Requirements/Working Locations:
Hybrid Environment
This position follows a hybrid work model, combining both remote and in-office responsibilities. Employees in this role are expected to work from a designated office location on scheduled days each week, while completing the remainder of their work remotely from a home office or approved location. This structure is designed to balance flexibility with in-person collaboration, allowing for team engagement, meetings, and on-site support when needed. Candidates should have the ability to maintain a reliable remote work setup, as well as the flexibility to commute to the office as required. Success in this role requires strong communication, time management, and the ability to seamlessly transition between remote and in-office work environments.
Young Innovations, Inc. is an Equal Opportunity Employer and E-Verify participating employer.

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