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Python Data Scientist Jobs in Illinois (NOW HIRING)

The data science team consists of highly motivated and experienced data scientists and they are a ... They have a python-based, custom-built platform for running all the credit modeling which means ...

The data science team consists of highly motivated and experienced data scientists and they are a ... They have a python-based, custom-built platform for running all the credit modeling which means ...

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe ... Programming in Python (or a comparable language) and working knowledge of SQL. * Strong analytical ...

Python, R, or SAS Other Things We Look For: * Familiarity with experimental design concepts for ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Python, R, or SAS Other Things We Look For: * Familiarity with experimental design concepts for ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

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 ...

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 ...

Responsibilities : • Develop software, typically in Python, to independently acquire data from ... data science language (F1 scores, regression error, statistical significance, etc.) as well as ...

Job Title: Data Scientist (1099 Contractor) About Us: On a mission to deliver affordable ... Write clean, efficient, and production-ready code in Python and SQL, ensuring data accuracy and ...

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.

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.

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.

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.

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

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Showing results 1-20

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 Jul 10, 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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 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.
Infographic showing various Python Data Scientist job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

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Job description

Our client a fast-growing online consumer lender specializing in installment lending and lines of
credit. Analytics is uniquely fundamental to this organization and culture which means you have
the opportunity to be engaged with all aspects of our business and work on really diverse and
challenging problems; from marketing to credit/risk to operations and even investor relations.
The data science team consists of highly motivated and experienced data scientists and they are
a strategic partner in developing and evolving the processes, technology, and decisions of the
business. The atmosphere is very collaborative - they work out difficult problems together and the work that
they do has a meaningful and immediate impact on the business. They have a python-based,
custom-built platform for running all the credit modeling which means that
they fully own our modeling processes from POC to production. They are constantly working on
adding new models and improving existing ones and as a member of the team you'll have a set
of models and analyses that will be your own.
Are you a data scientist ready to step into a role with more responsibility and freedom? Do you
thrive in a fast-paced, challenging environment? Do you have experience in python working
across a variety of data science tasks? Our client is looking for other inquisitive minds to
help them solve challenging problems as they grow and scale their business. They heavily use the
following techniques and technologies:
Modeling and machine learning
Advanced feature engineering
Python - pandas, numpy, scikit-learn
Anaconda, Jupyter notebooks
SQL - (PostgresSQL)
Deploying and validating models in production
Docker
An ideal candidate is well-experienced in at least a few of these, and would like to get proficient
with the remainder, and maybe has good suggestions of other data science tools and
methodologies that they haven't used yet.
Who are they looking for?
You are curious and highly driven. You like to sink your teeth into really challenging problems
and when you're in the zone on a tough project, the time flies by. You're comfortable with and
enjoy working on problems that are rarely well-defined. You can manage multiple projects at
once and are able to switch between tasks as priorities change. You are highly organized and
capable of managing your time (they don't want to micromanage).
Qualifications:
Bachelor's degree or equivalent (Mathematics, Statistics, Physics, Biostatistics,
Engineering), and 2+ years of related experience, Masters or Ph.D. preferred
Experience with:
o Python - pandas, numpy, scikit-learn

o Anaconda, Jupyter notebooks
o R - dplyr, ggplot, lm, etc.
o Version control systems (Git/GitHub)
o SQL, PostgreSQL

Ability to communicate analysis approaches and results in an organized and clear way
Must be flexible and be willing to learn new tools/methods quickly
Must be comfortable working in a fast-paced environment
Must be a strong team player
Must be able to drive projects to completion independently
Must be authorized to work in the United States
Nice to have skills: Python development, Docker, shell scripting, Bash
Benefits/Perks
Competitive pay and benefits package including medical, dental, vision
Flex hours, including occasional work from home
Casual work environment
A large variety of projects to work on
You'll get to know the ins and outs of the business at a level of detail that is difficult or
impossible in a large company
Rapid advancement in your breadth and depth of skills
Work with industry leaders, including some of Chicago's best FinTech professionals
A fun, highly collaborative environment.