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

Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ... MIN REQ: Bach. degree, or foreign equiv., in Comp Sci, Eng'g, Math, Physics or related field. 10 ...

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

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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 Jul 29, 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 are the key skills and qualifications needed to thrive in the Data Science Physics position, and why are they important?

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.

What does a typical day look like for someone working in Data Science Physics?

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 is a Data Science Physics job?

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 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 July 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 85% In-person, and 15% 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 18 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.