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

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

We are seeking a talented Data Scientist to join the Field Intelligence Element (FIE). The FIE ... A graduate degree in physics or physical chemistry and experience using advanced statistical ...

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

We are seeking a talented Data Scientist to join the Field Intelligence Element (FIE). The FIE ... A graduate degree in physics or physical chemistry and experience using advanced statistical ...

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

We are seeking a talented Data Scientist to join the Field Intelligence Element (FIE). The FIE ... A graduate degree in physics or physical chemistry and experience using advanced statistical ...

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering * 3+ years of strong mathematical and statistical data analysis experience ...

... physics of vitrification and rewarming. You will own projects end-to-end including shaping data ... Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science ...

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

College Physics Tutor

Skokie, IL · Remote

$18 - $40/hr

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

Showing results 21-40

Data Science Physics information

See Chicago, IL salary details

$25.1K

$94.9K

$205.8K

How much do data science physics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science physics in Chicago, IL is $94,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,622.00 and $141,132.00 per year, depending on experience, location, and employer.

What is a Data Science Physics?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What does a Data Science Physics do?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in Data Science Physics?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

Can I get a data science job with a physics degree?

A physics degree provides a strong foundation in analytical thinking, mathematics, and problem-solving, which are valuable in data science roles. Many data scientists have backgrounds in physics, and skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL are often required. Gaining experience through projects, internships, or certifications can improve job prospects in this field.

How is data science used in physics?

Data science in physics involves analyzing large datasets from experiments and simulations to identify patterns, make predictions, and develop models. Physicists use tools like machine learning, statistical analysis, and data visualization to interpret complex phenomena and advance understanding in areas such as particle physics, astrophysics, and condensed matter research.

What are the most commonly searched types of Data Science Physics jobs in Chicago, IL?

The most popular types of Data Science Physics jobs in Chicago, IL are:

What are popular job titles related to Data Science Physics jobs in Chicago, IL?

For Data Science Physics jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Physics jobs in Chicago, IL look for?

The top searched job categories for Data Science Physics jobs in Chicago, IL are:

Infographic showing various Data Science Physics job openings in Chicago, IL as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $94,936 per year, or $45.6 per hour.

Autonomous Infrastructure and Robotic Science Lead

Argonne National Laboratory

Lemont, IL • On-site

$100 - $140/hr

Other

Re-posted 2 days ago


Job description

The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and domain science. The candidate will have established expertise across automated and autonomous experimental platforms and AI, leadership of multi-disciplinary research programs, and development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts, who develop hardware and software infrastructure for laboratory autonomy, support autonomous laboratories in chemistry, biology, and quantum science, collaborate with domain scientists to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for orchestration of autonomous laboratories and software infrastructure supporting the operation, training, and execution of robotic workflows.

Focus Areas
  • Autonomous laboratories for chemistry, materials, biology, etc.
  • AI/ML for predictive modeling and inverse design.
  • Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery.
  • Integration of HPC, data infrastructure, and ML pipelines for data‑driven and autonomous research.
  • Digital twins and simulation‑augmented AI tools.
Key Responsibilities
  • Guide the development of infrastructure for laboratory autonomy including physical autonomous laboratories, robotics laboratories, and software frameworks for autonomous science and robotics.
  • Facilitate collaborations between the RPL and domain scientists across Argonne and partner institutions in the execution of successful autonomous science demonstrations.
  • Facilitate collaborations between the RPL and teams at partner institutions developing autonomous science and robotics infrastructure.
  • Guide the RPL team toward the advancement of laboratory autonomy and robotics.
  • Publish in refereed journals and present at conferences, symposia, and seminars.
  • Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff.
  • Execute all activities in compliance with Argonne's safety policies, Safeguards and Security policies, work rules, and safe practices.
Position Requirements
  • Completed Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field, and a minimum of 4+ years of related experience.
  • Proven research track record in deploying automated and autonomous platforms and AI/ML toward accelerating science.
  • Demonstrated ability to formulate scientific problems relevant to the DOE portfolio.
  • Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals.
  • Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community.
  • Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

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