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Python Data Scientist Jobs in Illinois (NOW HIRING)

Intellect Solutions LLC

IL · On-site

As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and ... Deploy, monitor, and update models in production, and languages and frameworks such as Python, R ...

Green Thumb

Data Scientist

Chicago, IL · On-site

The Role Green Thumb Industries is building a data science function that powers real operational ... Strong Python skills for data manipulation, modeling, and analysis (pandas, scikit-learn ...

Tavern Research

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Write clean, well-documented Python code using standard data science libraries. * Assist with model evaluation, diagnostics, and performance monitoring. * Collaborate with researchers and engineers ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

The Role Green Thumb Industries is building a data science function that powers real operational ... Strong Python skills for data manipulation, modeling, and analysis (pandas, scikit-learn ...

Munich Re

Data Scientist, AI

Chicago, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Munich Re

Data Scientist, AI

Bloomington, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL

Experience in Python for machine learning and pipeline development. Experience in R for ... Tools for data science : Familiarity with modern coding standards for data science including ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

Experience in Python for machine learning and pipeline development. Experience in R for ... Tools for data science : Familiarity with modern coding standards for data science including ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost ...

Caterpillar

Data Scientist

Morton, IL · On-site

As a Data Scientist, you will be responsible for performing analytical tasks and initiatives on ... Work with modern data platforms and tools (e.g., Python, SQL, Snowflake, Azure, Dataiku) to ...

The Hartford

Senior Data Scientist

Chicago, IL · On-site

$110K - $166K/yr

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance ... Strong Python and SQL skills; experience with Git and cloud ML environments. Ability to collaborate ...

CVS Health

Sr. Data Scientist

Chicago, IL

$119K - $203K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics ... Data analysis and visualization tools such as SAS, SPSS, R, Python, SQL, or Tableau; Machine ...

New

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning ... Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow ...

Ecolab

Sr Data Scientist

Naperville, IL

$118K - $177K/yr

... Python * Excellent communication & presentation skills, effectively partnering and delivering ... Experience with full lifecycle of data science product development * Demonstrated interconnected ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Illinois

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 Jun 22, 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 does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 are popular job titles related to Python Data Scientist jobs in Illinois? For Python Data Scientist jobs in Illinois, the most frequently searched job titles are:
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:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Illinois as of June 2026, with employment types broken down into 77% Full Time, 14% Part Time, and 9% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.
Data Scientist

Data Scientist

Intellect Solutions LLC

IL • On-site

Full-time

Posted 26 days ago

Job description

Company Description
Job Description
Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. 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, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data.
Required Skills
  • U.S. Citizenship, required Active Secret Clearance.
  • Must be a lifelong learner, willing to share and grow the knowledge of those around them.
  • Strong qualitative and quantitative analysis skills.
  • Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems.
  • Conduct data modeling and management to assemble data structures and lineage
  • Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS
  • Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models
  • Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch
  • Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment
  • Recommend improvements to associated workflows as defined by the customer
  • Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value
  • Design and create user experience for an intuitive output consisting of 'fewest clicks to an answer' while iteratively creating capacity for 'minimum viable capability' with extensibility as a core tenant
  • Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis

Required Experience
  • BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
  • Minimum of 2-3 years professional work experience providing data analytics services.

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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