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Python Data Scientist Jobs in Illinois (NOW HIRING)

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 ...

Exposure to Python and web frameworks such as Django (training provided) * ETL and Orchestration ... data science, analytics, and software development. Additional Information * This position will ...

Develop software, typically in Python, to independently acquire data from disparate sources ... Plan and execute data science training sessions and hackathonsWork with external parties (vendors ...

PayPal, Inc. seeks Senior Data Scientist in Chicago, IL Job Duties: Lead the development and ... Python on cloud environments using distributed computing clusters (2 years) 7. Building and ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Dime Line Trading is hiring a Data Scientist to help build and scale our data foundation from the ... Strong proficiency in Python and/or R , including common data and modeling libraries (e.g., pandas ...

... Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to ...

... Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to ...

... Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to ...

... Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to ...

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

... leveraging Python, SQL languages, and BigQuery tool to design and implement risk decision ... Drive best practices in data science. Drive success through data-driven approach by applying ...

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

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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 Jun 20, 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.
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

MessageControl

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago


Job description

Company Description
MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks.
Job Description
As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment.
What you bring to the team:
  • Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy.
  • Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools.
  • Assess the potential usefulness and validity of new ML and DL approaches and data sources.
  • Develop proof-of-concept prototypes to prove out hypotheses.
  • Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication.
  • Help drive our data science culture and strategy.

Qualifications
Desirable Skills and Experience:
  • Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market.
  • Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus.
  • Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus.
  • Previous software development experience is required, including usage of version control systems such as git and writing tests
  • Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation.
  • Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results.

Additional Information
Perks/Benefits:
  • Direct access to senior management - our leadership team works alongside our team members every day.
  • Comprehensive medical, dental, and vision insurance.
  • Company paid life insurance, short term disability and long term disability.
  • Flexible paid time off (PTO) policy, plus sick days.
  • Ongoing professional development opportunities by level and function.
  • Your choice of Windows or Mac laptop.
  • Onsite gym.
  • Casual dress in a fun, friendly and collaborative work environment.
  • The ability to have significant impact every day.

Location:
  • Thisposition is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.