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Data Science Machine Learning Jobs in Illinois (NOW HIRING)

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

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 ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). * Excellent foundations in the mathematics that underlies machine learning ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

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 ...

Varsity Tutors

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Skokie, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Highland Park, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Lake Forest, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chicago, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Naperville, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Evanston, IL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Illinois

Data Science Machine Learning information

See Illinois salary details

$36.3K

$118.9K

$190.4K

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

As of Jul 23, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities in Illinois are hiring for Data Science Machine Learning jobs? Cities in Illinois with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Data Scientist II - QuantumBlack, AI by McKinsey (Critical Industries)

QuantumBlack, AI by McKinsey

Chicago, IL • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
QuantumBlack, AI by McKinsey is focused on driving lasting impact and building long-term capabilities with clients. The Data Scientist II will collaborate with clients to develop advanced analytics and AI solutions, optimize code, and solve complex business challenges across various industries.
Responsibilities:
• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
• Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
Qualifications:
Required:
• U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
• Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
• Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must
• Knowledge in applying machine learning solution to real problems with complex and/or big amounts of data.
• Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
• Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Willingness to travel
Preferred:
• Good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus
• R, SPSS, SAS (nice to have)
• Software Engineering is a plus
• Experience deploying technology applied to business problems is a plus
Company:
We are QuantumBlack, AI by McKinsey. Founded in 2009, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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