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Full Stack Data Scientist Jobs in Illinois (NOW HIRING)

MonoSol

Data Scientist

Chicago, IL · On-site

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 ...

DataDelivers LLC

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

... data access, reporting, and application supportRead, navigate, and extend the existing codebase ... in Computer Science, Information Technology, or a related field, or equivalent practical ...

DataDelivers LLC

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

Write, debug, and optimize SQL queries for data access, reporting, and application support * Read ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Next Step Systems

Full Stack Developer

Chicago, IL · On-site

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for ... Computer science or equivalent experience. - Advanced knowledge of application, data and ...

Edgehog Trading

Full Stack Developer

Chicago, IL · On-site

... data. • Collaborate closely with traders, quant researchers, and algo developers to understand ... in computer science, mathematics, or a related field • Strong proficiency in JavaScript ...

Next Step Systems

Full Stack Java Developer

Chicago, IL · On-site

$54 - $69.75/hr

Full Stack Java Developer, Chicago, IL We are hiring a Full Stack Java Developer now! Urgent need ... Computer science or equivalent experience. - Advanced knowledge of application, data and ...

TEKsystems

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

TEKsystems is seeking a Data Scientist for one of our large clients based in Chicago. THIS IS 100 ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Orvixengr

Full Stack Developer

Chicago, IL · Remote

$35 - $65/hr

... efficient data storage, retrieval, and integration. * System Integration: Collaborate with ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work ...

SG Cap Trading

Full Stack Software Engineer

Chicago, IL · On-site

We use technology and big data to solve real world financial puzzles. Our competitive advantage is ... Strong problem-solving skills and a solution-oriented mindset. * BS in Computer Science, Computer ...

Agile Defense

Data Scientist

Scott Air Force Base, IL · On-site

You will collaborate closely with product managers, full-stack developers, platform engineers, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

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Showing results 1-20

All JobsFull Stack Data Scientist JobsFull Stack Data Scientist Jobs in Illinois

Full Stack Data Scientist information

See Illinois salary details

$44.6K

$159.9K

$236K

How much do full stack data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full stack data scientist in Illinois is $159,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $164,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Illinois? The most popular types of Full Stack Data Scientist jobs in Illinois are:
What are popular job titles related to Full Stack Data Scientist jobs in Illinois? For Full Stack Data Scientist jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Illinois look for? The top searched job categories for Full Stack Data Scientist jobs in Illinois are:
What cities in Illinois are hiring for Full Stack Data Scientist jobs? Cities in Illinois with the most Full Stack Data Scientist job openings:
Full Stack Data Scientist jobs near you
Infographic showing various Full Stack Data Scientist job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $159,907 per year, or $76.9 per hour.

Data Scientist

MonoSol

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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).5

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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