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Computer Science Statistics Jobs in Illinois (NOW HIRING)

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 ...

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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

  • 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 ...

Data Scientist II

Chicago, IL · On-site

$138 - $172/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent practical ...

Showing results 41-60

Computer Science Statistics information

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

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 computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for 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 do computer science statistics professionals do?

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 skills and qualifications are needed for computer science statistics?

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 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:

Infographic showing various Computer Science Statistics job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Scientist - Pricing & Profitability (Hybrid)

Enova International

Chicago, IL

$87K - $110K/yr

Full-time

Posted 16 days ago


Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

We are seeking a talented Data Scientist to join our Pricing and Profitability team, a critical unit within our Data Science & Credit Risk department. This team is at the heart of our business operations, ensuring that our lending decisions not only meet our risk management standards but also maximize our company's profitability. You will play a pivotal role in shaping our lending strategies, balancing risk and reward to drive our mission forward.

You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova's business. You will be responsible for proactively identifying trends in financial performance to improve these models. 

Your work will be wide-ranging and impactful, exposing you to adjacent operations and stakeholders in the fields of credit operations, capital markets, financial planning and analysis, marketing, and sales. You will collaborate with these internal stakeholders and use modeling and analysis to present a clear and cohesive vision for the financial impact of their own initiatives.

Key responsibilities:

  • Develop and refine models to optimize pricing strategies across various customer segments, ensuring alignment with our company's risk appetite and return objectives
  • Collaborate closely with the Credit Risk Modeling team to understand our proprietary risk models, and incorporate them effectively into profitability models
  • Design and implement A/B testing frameworks to evaluate the performance of pricing strategies, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on pricing and product development strategies

Requirements:

  • Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 2+ years of experience in Data Science, Analytics or related field
  • Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis 
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment

Compensation:

The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.


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