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Computer Science Data Science Jobs in Chicago, 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 ...

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 ...

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 ...

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 ...

The Director, Data (MarTech) is responsible for applying data exploration and visualization ... Bachelors in Computer Science, Statistics or any related field with an applied quantitative and ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Qualifications: - BS/BA degree required. (Coursework in Statistics, Finance, or Computer Science ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

What You Bring to the Table * 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Showing results 1-20

Computer Science Data Science information

See Chicago, IL salary details

$38.7K

$126.5K

$202.6K

How much do computer science data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer science data science in Chicago, IL is $126,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

Can a computer scientist work in data science?

Yes, computer scientists often work in data science because they have strong programming, algorithms, and analytical skills essential for data analysis, machine learning, and statistical modeling. Many data scientists have backgrounds in computer science and use tools like Python, R, and SQL to analyze large datasets and develop predictive models.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R and experience with machine learning tools can influence salary levels.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
What job categories do people searching Computer Science Data Science jobs in Chicago, IL look for? The top searched job categories for Computer Science Data Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Computer Science Data Science jobs? Cities near Chicago, IL with the most Computer Science Data Science job openings:
Infographic showing various Computer Science Data Science job openings in Chicago, IL as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 16% Part Time, 4% Contract, and 4% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,534 per year, or $60.8 per hour.
Data Scientist

Data Scientist

Hirose Electric USA

Downers Grove, IL • On-site

Full-time

Posted 15 days ago


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.