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Computer Science Statistics Jobs in Illinois (NOW HIRING)

Hirose Electric

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 ...

New

UL

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/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 ...

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 ...

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 ...

PepsiCo

Senior Data Scientist

Chicago, IL · On-site

$93K - $156K/yr

Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required. * Master's is preferred. * Experience: 7+ years ...

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.

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.

84.51˚

Lead Data Scientist (P3764)

Chicago, IL · On-site

Required : • Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 6+ years of experience applying machine ...

84.51˚

Lead Data Scientist (P3764)

Chicago, IL · On-site

Required : • Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • 6+ years of experience applying machine ...

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Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

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 jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for 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 in many computer science roles.

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

Data Scientist

Hirose Electric

Downers Grove, IL • On-site

Other

Posted yesterday

Job description

ABOUT HIROSE
This is an exciting opportunity to join Hirose, an organization that for almost a hundred years has been pioneering thousands of new connectors and defining industry standards in consumer electronics, industrial automation, high speed backbone computer infrastructure, automotive, and medical applications. A compact company of smart people, Hirose uses the talents of every employee to bring innovation to put big technology in small packages.
Position Summary
We are seeking a highly motivated and analytically driven Data Scientist with 2-5 years of experience to support data-driven decision-making across the organization. This role is designed for an individual who operates with an entrepreneurial mindset, demonstrating curiosity, initiative, and a strong desire to learn all aspects of our business.
The Data Scientist will play a key role in identifying, aggregating, and analyzing data across multiple functions-including sales, distribution, operations, marketing, and production-to provide actionable insights that drive operational excellence and support domestic and global revenue growth.
This role is a critical enabler of commercial and operational strategy, directly influencing pricing decisions, inventory positioning, distributor performance, and overall business competitiveness.
POSITION RESPONSIBILITIES
This position reports to the Manager of Information Technologies. Essential responsibilities include but are not limited to
Data Integration & Business Intelligence
  • Identify, acquire, and integrate data from multiple internal and external sources
  • Build and maintain structured datasets and data pipelines to support business intelligence, advanced analytics, and machine learning initiatives
  • Enable a unified view of performance across sales, marketing, operations, and supply chain
Advanced Analytics & Insights
  • Analyze data across key business domains, including:
  • Sales funnel performance, pipeline conversion, and revenue forecasting
  • Customer engagement, account activity, and demand trends
  • Distribution channel and partner performance
  • Marketing effectiveness and lead generation
  • Operations, production metrics, and lead times
  • Apply statistical analysis, predictive modeling, and data mining techniques to generate actionable insights
  • Translate complex analyses into clear recommendations that drive strategic decision-making
Reporting, Visualization & KPI Management
  • Develop and deploy dashboards and reporting tools to track KPIs and business performance
  • Leverage Tableau and data visualization best practices to deliver scalable, intuitive insights
  • Enable leadership and cross-functional teams to make faster, data-informed decisions
Pricing Analytics & Competitive Intelligence
  • Develop data-driven pricing models and algorithms aligned with market dynamics and company value proposition
  • Conduct competitive analysis using quantitative frameworks to evaluate product positioning
  • Quantify competitive advantages across attributes such as cost, performance, reliability, and lead time
  • Support pricing optimization, margin expansion, and win-rate improvement initiatives
  • Partner cross-functionally with Sales, Marketing, Product Management, and Operations to embed analytics into pricing strategy
Distributor Analytics & Supply Chain Optimization
  • Analyze distributor inventory, product mix, and demand signals to optimize channel performance
  • Integrate internal and external datasets (pipeline activity, lead times, purchasing history)
  • Develop models to improve inventory optimization, forecasting accuracy, and service levels
  • Identify opportunities to increase inventory turns, reduce imbalances, and drive revenue growth
Cross-Functional & Global Collaboration
  • Partner with Sales, Marketing, Operations, Supply Chain, and Finance teams across the Americas
  • Collaborate with global teams (including headquarters) to align data models and reporting standards
  • Support development of a global analytics framework for consistent performance measurement
Continuous Improvement & Data Strategy
  • Identify data gaps and drive improvements in data quality, governance, and reporting processes
  • Contribute to initiatives that enhance scalability, automation, and analytics maturity across the organization
Requirements
SKILLS AND QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • 2-5 years of experience in Data Science, Data Analytics, Business Intelligence, or AI/ML roles
  • 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 using data
  • Excellent communication skills, with the ability to present insights to executive stakeholders
  • Proven ability to work independently and within cross-functional teams
Technical Skills
  • Strong proficiency in Python, R, SQL, or similar programming languages
  • Advanced experience with Tableau, Power BI, or data visualization tools
  • Experience with predictive modeling, machine learning, and statistical analysis
  • Ability to work with large, complex, multi-source datasets
  • Experience in pricing analytics, supply chain analytics, or inventory optimization is a strong plus
Core Competencies
Entrepreneurial Mindset
  • Proactive, curious, and comfortable operating in a fast-paced, growth-oriented environment
Business Acumen
  • Strong understanding (or desire to learn) sales, distribution, manufacturing, and supply chain dynamics
  • Ability to connect data insights to measurable business outcomes
Collaboration & Global Perspective
  • Effective in cross-functional, cross-regional environments
  • Able to align diverse stakeholders around data-driven decisions
Executive Communication
  • Communicates complex data insights in a clear, concise, and business-relevant manner
Results Orientation
  • Focused on driving tangible improvements in revenue, margin, efficiency, and performance
Success Profile
The ideal candidate is a high-potential, hands-on Data Scientist who brings together technical expertise, business curiosity, and a strong results orientation. This individual thrives in a collaborative, global environment and is energized by using data to:
  • Optimize pricing strategy and competitive positioning
  • Improve inventory alignment and supply chain execution
  • Strengthen sales and distributor performance
  • Accelerate growth across domestic and international markets

SUPERVISION
None
PHYSICAL CONDITIONS
Normal office environment.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to sit, stand, walk, use hands to finger, handle or feel, reach with hands and arms, climb or balance and stoop, kneel, crouch or crawl. The employee will also need to travel to tradeshows and company events. The employee must occasionally lift and/or move up to 40 pounds.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The noise level in the work environment is usually moderate.
Hirose Electric Americas, Inc. may need to revise or change the essential and supplemental responsibilities of the position as the need arises. This job description does not constitute a written or implied contract of employment.

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