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

Abbott Laboratories

Senior Data Engineer

Des Plaines, IL · On-site

$78K - $156K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

Abbott

Senior Data Engineer

Des Plaines, IL · On-site

$103K - $140K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

Abbott

Senior Data Engineer

Des Plaines, IL · On-site

$103K - $140K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

Abbott

Senior Data Engineer

Des Plaines, IL · On-site

$103K - $140K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

MonoSol

Senior Scientist Process Modeling

Chicago, IL · On-site

$94K - $128K/yr

... data science team to connect physics-based understanding with data-driven approaches, building toward hybrid models and digital twins that can be deployed across our manufacturing network. We're ...

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$94 - $181/hr

A graduate degree in physics or physical chemistry and experience using advanced statistical ... Interested in translating science into innovation? Build your career at Argonne. At Argonne, we ...

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All JobsData Science Physics JobsData Science Physics Jobs in Chicago, IL

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 18, 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:

Data Science Physics jobs near you
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.

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Health Care Service Corporation (HCSC) is a purpose-driven company that invests in the professional development of its employees. The Senior Director of Data Science is responsible for planning, managing, and controlling department activities that utilize advanced mathematical and statistical concepts to analyze data and solve business problems, while leading a team of analysts.
Responsibilities:
• Planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
• Constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results.
• Leading initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis.
• Advising business by providing data-based strategic direction to identify and address business issues and opportunities.
• Planning, managing and leading team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Qualifications:
Required:
• Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field.
• Leadership and/or management experience.
• 4 years of management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
• Microsoft applications including Access, Excel, Word and Power Point.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.
• Overseeing the annual budget and allocating resources for various projects and operational needs.
• Translating needs and initiatives into compelling business cases.
• Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred:
• Masters or Ph.D. in a quantitative field, or Bachelor’s degree with healthcare experience.
• Actuarial Credentials
Company:
Health Care Service Corporation is a customer-owned health insurance company. Founded in 1936, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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