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Computer Science Statistics Jobs in Illinois (NOW HIRING)

Wahl Clipper Corporation

Data Scientist

Sterling, IL · Remote

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field. * 5+ years of experience in data science, analytics, or applied statistics. * Strong SQL ...

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

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 ...

Omnicom Media US H&S

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

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 ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field. * Knowledge of machine learning ...

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

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 ...

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

$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.

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in Illinois

Computer Science Statistics information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do computer science statistics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science statistics in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 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 the most commonly searched types of Computer Science Statistics jobs in Illinois? The most popular types of Computer Science Statistics jobs in Illinois are:
What are popular job titles related to Computer Science Statistics jobs in Illinois? For Computer Science Statistics jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Illinois look for? The top searched job categories for Computer Science Statistics jobs in Illinois are:
What cities in Illinois are hiring for Computer Science Statistics jobs? Cities in Illinois with the most Computer Science Statistics job openings:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in Illinois as of June 2026, with employment types broken down into 3% Internship, 78% Full Time, 6% Part Time, and 13% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.
Data Scientist

Data Scientist

Wahl Clipper Corporation

Sterling, IL • Remote

Full-time

Medical, Dental, Vision, Retirement

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

Wahl Clipper rating

7.5

Company rating: 7.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

74th of 139 rated electronics manufacturers

Job description

Wahl Empowers People To Be Their Best!

Help Shape the Future of Decision-Making at Wahl

At Wahl, data isn't just numbers- it's the story behind how we innovate, build, plan, and deliver products people depend on every single day. As a Data Scientist, you'll turn raw information into clear, compelling insights that help our teams make smarter decisions faster. If you thrive where statistical rigor meets creative problemsolving, and you love transforming chaos into clarity, this role gives you the opportunity to influence strategies across the entire organization.

What You'll Do

As a Data Scientist, you'll explore complex datasets, build predictive models, and surface insights that drive real business value. Your day-to-day will include:

  • Develop predictive and descriptive models (regression, classification, clustering, forecasting, etc.) to solve business problems.
  • Explore, clean, and transform data from Snowflake, relational SQL databases, flat files, APIs, and Excel sources.
  • Design and optimize analytical datasets within Snowflake for modeling and reporting.
  • Write efficient SQL to extract, join, and aggregate large datasets.
  • Build reusable data science pipelines and feature engineering processes.
  • Validate, test, and monitor models for accuracy, bias, and performance.
  • Partner with business stakeholders to understand requirements and define success metrics.
  • Translate analytical findings into clear business insights and recommendations.
  • Publish results through Power BI dashboards, semantic models, or other data products.
  • Collaborate with data engineers and BI developers to produce models.
  • Document methodologies, assumptions, and model behavior.

What You'll Bring

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.
  • 5+ years of experience in data science, analytics, or applied statistics.
  • Strong SQL skills and experience working with cloud data warehouses (Snowflake preferred).
  • Proficiency in Python or R for data analysis and modeling.
  • Experience with Power BI or similar BI tools (Tableau, Looker, etc.)
  • Solid understanding of statistical methods and machine learning algorithms.
  • Experience working with messy, real-world datasets from multiple sources.
  • Ability to understand business needs, translate them into effective solutions, and communicate technical concepts to a non-technical audience.

Technical Skills

  • Snowflake
  • SQL (TSQL, PostgreSQL, MySQL, etc.)
  • Python or R
  • Power BI
  • Advanced Excel (formulas, Power Query)
  • Pandas, NumPy, scikitlearn (or equivalent libraries)
  • Jupyter / Notebooks
  • Git

Desired Experience

  • Experience deploying models into production environments.
  • Familiarity with feature stores, model versioning, and MLOps concepts.
  • Knowledge of dimensional modeling and data warehouse design.
  • Experience with time-series forecasting and experimentation (A/B testing).
  • Background in retail, manufacturing, supply chain, e-commerce, or operations analytics.
  • Experience using Git and CI/CD pipelines.

Core Competencies

  • Action Oriented
  • Collaboration
  • Optimizes Work Processes
  • Nimble Learning
  • Demonstrates self-awareness
  • Values Differences

Why You'll Love Wahl Clipper

We offer a competitive benefits package designed to support your well-being and growth, including:

  • Low-cost BCBSIL medical, dental, and vision plans
  • A generous company-matched 401(k) and profit sharing
  • Tuition support to fuel your learning
  • Paid holidays and a vibrant, casual work environment

But that's just the beginning. At Wahl, you'll also enjoy:

  • A legacy of quality and innovation.
  • A team that values your expertise and ideas.
  • Opportunities to grow and contribute to meaningful projects.
  • A culture built on respect, precision, and progress.

Ready to Build What's Next?

If you're a data professional who blends analytical rigor with creative thinking- and you're excited to shape the insights that shape our future, we'd love to meet you. Apply today and help power the next chapter of Wahl's innovation.

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