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Python Data Scientist Jobs in Illinois (NOW HIRING)

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Support data science and analytics initiatives using SQL, Python, R, and Excel. * Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. Qualifications ...

Experience with Python, R, or similar programming languages for data analysis and modeling ... data science solutions. * Strong problem-solving and analytical skills, with the ability to ...

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

Data Scientist

Virginia, IL · On-site

$150 - $200/hr

The Client needs experienced SQL and Python skills to transform the Client's structured and ... Shall work closely with the Client's data scientists and technical team to implement requirements ...

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.

Showing results 21-40

Python Data Scientist information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do python data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python data scientist 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 Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What job categories do people searching Python Data Scientist jobs in Illinois look for?

The top searched job categories for Python Data Scientist jobs in Illinois are:

Infographic showing various Python Data Scientist 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

Fairview Heights, IL • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


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.