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Hourly Python Data Science Jobs in Rolling Meadows, IL

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

Strong proficiency in Python and modern data science tooling (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LightGBM, SHAP); familiarity with R or JMP is a plus * Deep grounding in ...

Cccis

Data Science Engineer Internship

Chicago, IL · On-site

$20 - $43/hr

The hourly range is $20.00 - $43.00 per hour. * Pay is based on factors including school year ... Python and SQL * Apache Airflow * Data governance and data quality What you'll do: * Build end-to ...

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

$130 - $155/hr

Strong proficiency in Python and modern data science tooling (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LightGBM, SHAP); familiarity with R or JMP is a plus * Deep grounding in ...

Socket.dev

Architect, Data Science

Chicago, IL · On-site

$155 - $190/hr

As part of our growing Data Science practice, this role offers an exciting opportunity to lead ... Expert knowledge of Python and SQL and strong hands‑on experience with Databricks (Unity Catalog ...

Inspire11

Data Science Consultant

Chicago, IL

Fluent in SQL and Python * Experience seeing through a data science project from scoping to solution * Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

Fluent in SQL and Python * Experience seeing through a data science project from scoping to solution * Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing ...

UNAVAILABLE

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling ... Advanced proficiency in Python, R, SQL, and modern data visualization tools. * Experience working ...

New

Socket.dev

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling ... Advanced proficiency in Python, R, SQL, and modern data visualization tools. * Experience working ...

New

Kemper

Data Science Manager

Chicago, IL · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... Strong proficiency in Python and SQL. * Experience with software development best practices ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Degree preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework * Proven experience using Python for data ...

New

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Hourly Python Data Science information

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

As of Aug 20, 2026, the average hourly pay for hourly python data science in Rolling Meadows, IL is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $66.97 per hour, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Python Data Science jobs in Rolling Meadows, IL?

The most popular types of Python Data Science jobs in Rolling Meadows, IL are:

What cities near Rolling Meadows, IL are hiring for Hourly Python Data Science jobs?

Cities near Rolling Meadows, IL with the most Hourly Python Data Science job openings:

Hourly Python Data Science jobs near you

Senior Scientist Data Science

MonoSol

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

MonoSol rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

We're looking for an experienced Data Scientist with a background in materials, chemistry, polymers, or chemical engineering to transform how data drives decisions across R&D and manufacturing. You'll build advanced statistical and machine learning models, develop digital twins, and accelerate our understanding of materials, chemistry, and processes through predictive modeling and optimization. This role sits at the intersection of scientific insight, statistical rigor, and real-world impact. The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives in translating complex technical problems into practical solutions.
As a senior individual contributor, you'll lead end-to-end modeling initiatives and translate insights into deployed solutions and operational recommendations that improve yield, quality, cost, and cycle time. You'll work across diverse data environments (from small, high-value R&D experiments to complex, high-dimensional production datasets) turning complexity into clear, actionable direction. Your work will directly shape how teams access, use, and trust data, helping build a more agile, innovation-focused organization.
Beyond building models, you'll help elevate our broader data science capabilities by developing reusable tools, scalable workflows, and high-quality data assets that amplify impact across projects and teams. This is an opportunity to do meaningful, technically challenging work while shaping how data science is applied in a materials and manufacturing environment.
Key Responsibilities
Scientific and Statistical Partnership
  • Partner with scientists, engineers, and manufacturing teams to frame high-impact problems, assess data quality, and apply rigorous statistical thinking to materials, process, and production challenges.
  • Bring a strong scientific lens to every analysis by ensuring methods are not only technically sound, but meaningful in the context of chemistry, materials behavior, and real-world process dynamics.

Predictive Modeling, Digital Twins, and Optimization
  • Design, build, and evolve advanced statistical and machine learning models that drive technical decision making across R&D and manufacturing.
  • Work with domain experts to support development of digital twin and hybrid models that combine first-principles knowledge with machine learning to simulate, predict, and optimize material and process performance.
  • Own models through the full lifecycle ensuring they are robust, interpretable, and actionable in operational environments.

Data Transformation and Feature Engineering
  • Work across complex, multi-source datasets spanning laboratory, pilot, and manufacturing environments, transforming raw data into structured, analysis-ready assets.
  • Engineer meaningful features that unlock insight into structure-property-process-performance relationships and improve model performance, interpretability, and usability.

Visualization, Communication, and Decision Support
  • Translate complex analyses into clear, compelling visualizations, tools, and narratives that enable teams to quickly understand and act on insights.
  • Deliver recommendations that directly influence R&D direction, process optimization, and manufacturing performance, and communicate effectively across diverse audiences.

Leadership, Capability Building & Data Advancement
  • Lead data science initiatives from problem definition through sustained use in decision-making, working across R&D and manufacturing.
  • Act as a thought leader to technical teams by shaping analytical approaches, guiding best practices, and mentoring others in statistical thinking and disciplined use of data.
  • Drive improvements in how technical data is structured, captured, and used and develop reusable tools, workflows, and codebases that scale impact beyond individual projects.

Qualifications
Education
  • Bachelor's degree in Materials Science, Chemistry, Chemical Engineering, Polymer Science, Data Science, Statistics, Computer Science, or a related technical field; Master's or PhD strongly preferred

Experience
  • 5+ years of applying data science, statistics, or advanced analytics to complex problems in materials, chemistry, manufacturing, or related technical environments
  • Track record of delivering measurable impact through modeling and analysis (e.g. improvements in yield, quality, cost, or efficiency) and owning delivery from problem framing through deployment
  • Experience with modeling across data scales and structures spanning small, high-value experimental datasets to large high-dimensional production or process datasets
  • Experience working with manufacturing, process, or production systems, and connecting analysis to real-world operational performance

Technical Skills
  • Strong proficiency in Python and modern data science tooling (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LightGBM, SHAP); familiarity with R or JMP is a plus
  • Deep grounding in statistical methods, including both frequentist and Bayesian approaches, with the ability to design experiments, quantify uncertainty, and make decisions under limited data
  • Experience developing predictive and explanatory models, including feature engineering, latent variable methods, and interpretable modeling approaches
  • Strong SQL skills and experience working with structured and relational data; familiarity with cloud-based data and analytics platforms (e.g., AWS, Azure)
  • Experience creating interactive dashboards or data applications to support decision making (e.g., Power BI, Tableau, Streamlit, or Plotly Dash)
  • Experience building and deploying models in production or operational environments, including version control (Git), reproducibility, and lifecycle management practices
  • Experience with digital twins, hybrid modeling approaches, or combining physics-based understanding (preferred) with data-driven techniques for prediction and optimization
  • Familiarity with generative AI techniques, large language models (LLMs), or retrieval-augmented generation (RAG) as applied to scientific or engineering workflows (preferred)
  • Familiarity with materials modeling data or tools (e.g., DFT, MD, CALPHAD) or adjacent scientific computing approaches (preferred)

Who you are
  • Strong communicator who can engage effectively with scientists, engineers, manufacturing teams, and leadership and translates complexity into clarity
  • Comfortable operating in ambiguous, cross-functional environments and taking ownership of high-impact problems without waiting for direction
  • Self-directed senior IC who leads through influence by shaping analytical approaches, driving alignment across teams, and raising the bar for how data is used
  • Energized by continuous learning and staying at the forefront of materials informatics, AI/ML, and scientific computing

Additional information
Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law:
  • The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future.
  • In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days).

Status: Full Time
Job Location: Hybrid
Compensation range - $130,000.00 - $155,000.00
Incentive Compensation Bonus Target - 10-15%
Paid time off amount - 15 days
CLOSING
The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary.
Disclaimer
As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug test and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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