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Python Data Scientist Jobs in Illinois (NOW HIRING)

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 ...

Our data science teams also embrace staying current with the evolving data science landscape ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

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.

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.

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.

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.

... using Python, SQL and/or R • Build and enhance media mix models to connect the impact of ... streamline data science solutions • Integrate disparate data sources and leverage ...

Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG ... Provide technical leadership and mentorship to data scientists and analysts. * Integrate Snowflake ...

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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 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.
Data Scientist

Full-time

Posted 6 days ago


Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

  • Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
  • Generate novel ideas for enhanced proprietary data products.
  • Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
  • Transform firm approved raw datasets into robust features for our systematic models.
  • Build analytical tools to supplement our shared research framework.

Requirements

  • BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or a comparable language) and working knowledge of SQL.
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of their work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • High attention to detail.
  • Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
  • Commitment to the highest ethical standards.