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Python Data Science Jobs in Chicago, IL (NOW HIRING)

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$118K - $141K/yr

Required : • 3+ years of demonstrated experience designing and implementing ingestion pipelines • Foundational understanding of the Python data science ecosystem • Strong understanding of ...

... in Python • Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) or ... into data science problems and communicating the results to non-technical audiences • Self ...

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Director, Data Science

Chicago, IL · On-site

$140K - $170K/yr

Must have hands-on expertise in Python; SQL proficiency preferred * Experience with cloud computing platforms such as AWS or GCP * Experience managing data scientists and end-to-end analytics ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... in Python and/or R. Prior Management Experience Expertise in the end-to-end modeling lifecycle ...

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 ...

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Python Data Science information

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How much do python data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for python data science in Chicago, IL is $60.44, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $68.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Chicago, IL? The most popular types of Python Data Science jobs in Chicago, IL are:
What are popular job titles related to Python Data Science jobs in Chicago, IL? For Python Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Chicago, IL look for? The top searched job categories for Python Data Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Python Data Science jobs? Cities near Chicago, IL with the most Python Data Science job openings:
Infographic showing various Python Data Science job openings in Chicago, IL as of June 2026, with employment types broken down into 3% As Needed, 54% Full Time, 39% Part Time, 2% Contract, and 2% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $125,707 per year, or $60.4 per hour.
Data Engineer, Cumberland/FICCO

Data Engineer, Cumberland/FICCO

DRW

Chicago, IL • On-site

$118K - $141K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
DRW is a diversified trading firm with over 3 decades of experience in global markets, valuing technology and exceptional talent. They are seeking a Data Engineer to develop datasets and scalable data infrastructure for their trading operations, collaborating with traders and researchers to support data-driven decision-making.
Responsibilities:
• Build, maintain, and manage core trading datasets
• Implement data quality and control processes
• Incorporate new data from both internally derived and vendor systems
• Collaborate with research teams to apply novel ideas to historic data sets
• Create AI sympathetic annotations to new and existing data sets
Qualifications:
Required:
• 3+ years of demonstrated experience designing and implementing ingestion pipelines
• Foundational understanding of the Python data science ecosystem
• Strong understanding of option and future products and their respective data requirements
• Strong understanding of financial point-in-time and time-series data and analysis
• An understanding of the financial data vendor landscape and product offerings
• Proven expertise in developing data quality control processes to detect gaps or inaccuracies
• Experience with monitoring, observability, and alerting systems for data pipelines
• Proven ability to work in an agile, fast-paced environment and handle trading environment demands
Company:
DRW is a diversified trading firm that combines technology, research, and risk management to capture trading and investment opportunities. Founded in 1992, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.