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Data Scientist Machine Learning Jobs in Illinois

Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Apply machine learning, statistical modeling, and causal inference to generate insights and ... Degree preferably in statistics, applied mathematics, data science, analytics, engineering ...

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... You will own projects end-to-end including shaping data collection and designing data pipelines ...

Data Scientist

Chicago, IL · On-site

$98 - $158/hr

Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value.* Become familiar with ...

Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value. * Become familiar with ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Preferred qualifications: * 5 years of industry experience in a data scientist, machine learning engineer, or software engineering role with a focus on machine learning applications. * Experience in ...

New

IL · On-site

As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models ...

Showing results 41-60

Data Scientist Machine Learning information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do data scientist machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data scientist machine learning 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 data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Illinois?

The most popular types of Data Scientist Machine Learning jobs in Illinois are:

What are popular job titles related to Data Scientist Machine Learning jobs in Illinois?

For Data Scientist Machine Learning jobs in Illinois, the most frequently searched job titles are:

Infographic showing various Data Scientist Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Data Scientist

Reyes Holdings

Rosemont, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Reyes Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

109th of 443 rated food and drinks producers


Job description

Position Responsibilities: 

  • Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

  • Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions

  • Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance

  • Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

  • Document lessons learned and process improvement techniques

  • Other duties as assigned 

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 


Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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