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Data Scientist Machine Learning Jobs in Illinois

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

New

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets. The Data Scientist will define ...

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets. The Data Scientist will define ...

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets. The Data Scientist will define ...

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

Showing results 21-40

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

PB consulting

Mitchell, IL โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.