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Permanent Computer Science Statistics Jobs in Illinois

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 ...

New

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

Data Scientist

Wood Dale, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Master's degree preferred * 3 to 5 plus years of experience in data science ...

Showing results 41-60

Permanent Computer Science Statistics information

What is the difference between Permanent Computer Science Statistics vs Permanent Data Analyst?

AspectPermanent Computer Science StatisticsPermanent Data Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; often certifications in data analysis or programmingBachelor's in Statistics, Data Science, or related fields; certifications in data tools are common
Work EnvironmentTech companies, research institutions, or finance; focus on algorithms and statistical modelsBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, academia for developing models and algorithmsUsed across industries for analyzing data to inform business decisions

Permanent Computer Science Statistics professionals focus on developing algorithms and statistical models, often in tech or research settings, while Permanent Data Analysts interpret data to support business strategies across various industries. Both roles require strong analytical skills and relevant certifications, but their daily tasks and work environments differ.

Is statistics useful in computer science?

Statistics is a fundamental skill for computer science professionals, including those in data analysis, machine learning, and algorithm development. It helps in understanding data patterns, making informed decisions, and developing models, often using tools like R or Python. Proficiency in statistics enhances problem-solving and analytical capabilities in the field.

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 cities in Illinois are hiring for Permanent Computer Science Statistics jobs?

Cities in Illinois with the most Permanent Computer Science Statistics job openings:

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 8 days ago


Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • 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 working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.