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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 ...

Data Scientist role to develop and deliver analytics models for Client's equipment condition ... Techinical Skills Required: - Excellent python skills (numpy/pandas/matplotlib/sklearn), version ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

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 ...

Data Scientist Data Scientist role to develop and deliver analytics models for Client's equipment ... Develop, backtest and validate models in python, in both on-prem and AWS environments. * Compute ...

As a Data Scientist, you'll turn raw information into clear, compelling insights that help our ... Proficiency in Python or R for data analysis and modeling. * Experience with Power BI or similar BI ...

Data Scientist

Sterling, IL · On-site

$100K - $125K/yr

As a Data Scientist, you'll turn raw information into clear, compelling insights that help our ... Proficiency in Python or R for data analysis and modeling. * Experience with Power BI or similar BI ...

Data Scientist Chicago, IL (3 days/week onsite in the loop; 2 days WFH) Summary The Data Scientist ... Must have strong Python experience, and experience with the PyData stack, ideally with Pandas

The Data Scientist works closely with Retail Technology, Media and Account Services teams to ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Use R and/or Python to build, maintain, and support loss models across different lines of business

Perform other related duties as directed in support of analytics and data science initiatives ... Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ...

Data Scientist

Chicago, IL · On-site

$95K - $150K/yr

Junior Data Scientist with Data Engineering Skills Seeking a motivated Junior Data Scientist with ... Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)

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 ...

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 ...

Data Scientist

Chicago, IL · Hybrid

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Use Python to build, maintain, and support loss models across different lines of business ...

Data Scientist Data Scientist role to develop and deliver analytics models for the client ... Develop, backtest and validate models in python, in both on-prem and AWS environments. * Compute ...

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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 May 28, 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 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 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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.

Other

Medical, Dental, Vision

Posted 8 days ago


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.