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Hourly Python Data Science Jobs in Naperville, IL

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 ...

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 ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

... with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.) * Proficiency in Python and scientific related ...

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

Position Reports To : VP of Data Science Salary Range : $110K to $140K Location : Remote Based (U.S ... Develop scalable analytical programs using SAS, SQL, R, and/or Python. * Build high-quality client ...

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

The hourly range is $20.00 - $43.00 per hour. * Pay is based on factors including school year ... Experience in software development with proficiency in programming languages such as Python, Java ...

Posted today

Translate risk management business requirements into well-defined data science solutions, including ... Strong Python and SQL skills. * Experience with NLP or text analytics, including narrative cleaning ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Showing results 41-60

Hourly Python Data Science information

See Naperville, IL salary details

$13

$58

$86

How much do hourly python data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for hourly python data science in Naperville, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.49 per hour, depending on experience, location, and employer.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What is an hourly Python data science job?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python data science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an hourly Python data science professional?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What cities near Naperville, IL are hiring for Hourly Python Data Science jobs? Cities near Naperville, IL with the most Hourly Python Data Science job openings:
Infographic showing various Hourly Python Data Science job openings in Naperville, IL as of June 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $121,751 per year, or $58.5 per hour.

Sr. Data Scientist

Northern Trust

Chicago, IL • On-site

$114K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

About Northern Trust:
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.
Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.
Major Duties :• Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training , validation and testing datasets
• Analyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fields
• Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
• Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
• Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
• Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
• Discover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performance
• Run large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
• May present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.
• Provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments
• Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
• Plan and execute data science training sessions and hackathons
• Work with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science lab
• Solves complex problems
• Takes a new perspective on existing solutions
• Exercises judgment based on the analysis of multiple sources of information
• Impacts a range of customer, operational, project or service activities within own team and other related teams
• Works within broad guidelines and policies
Knowledge :• Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) required
• Advanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferred
• Requires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplines
• Applies best practices and how own area integrates with others
• Explains difficult or sensitive information; works to build consensus
Experience :• Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferred
• Acts as a resource for colleagues with less experience;
• May lead small projects with manageable risks and resource requirements
Salary Range:
$114,500 - 194,700 USD
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.
Working with Us:
As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.
Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.
We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater
Reasonable accommodation
Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.
We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.
Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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