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Data Science Physics Jobs in Maryland (NOW HIRING)

Data Scientist

Laurel, MD · On-site

$105 - $290/hr

Design and contribute to prototype software that gathers, processes, and analyzes data from sources ... MS or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

The Data Scientist will work as part of a research-focused team to advance national security ... Physics, or Computational Social Science with 2+ years of experience; or Master's degree or ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief CNO, analytics, data science Are you VIGILANT about your career? RealmOne definitely is ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

We have varying levels of Data Scientist roles, depending on years of experience and education ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

... Physics, or Computational Social Science; or Master's degree or equivalent graduate degree ... Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.

... Physics, or Computational Social Science; or Master's degree or equivalent graduate degree ... Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.

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Data Science Physics information

See Maryland salary details

$24.4K

$92.2K

$199.8K

How much do data science physics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science physics in Maryland is $92,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,361.00 and $137,052.00 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 Maryland?

The most popular types of Data Science Physics jobs in Maryland are:

What are popular job titles related to Data Science Physics jobs in Maryland?

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

Infographic showing various Data Science Physics job openings in Maryland as of August 2026, with employment types broken down into 8% Internship, 59% Full Time, and 33% Part Time. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution, with an average salary of $92,191 per year, or $44.3 per hour.

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

About Science and Technology Corporation (STC): Founded in 1979, Science and Technology Corporation (STC) delivers an extensive range of award-winning advanced scientific, engineering, and technical support services to the U.S. Government and Industry customers. Our proven expertise and experience span scientific research, development, test and evaluation in areas such as earth and atmospheric sciences, engineering, data science and software engineering

Will you join our world-class team. Employment Category:Full-Time Location:NASA GSFC - Hybrid Security Clearance: None Citizenship:Requires U.S. Citizenship Salary: $130,000 - $150,000 Job Description: Lead scientific research and technical initiatives supporting NASA Earth science programs

Collaborate with multidisciplinary teams to develop, evaluate, and enhance scientific methodologies, data processing systems, and research capabilities while advancing Earth system modeling, environmental data analysis, and related scientific applications. Key Responsibilities Include: Lead scientific research and technical investigations supporting Earth science initiatives. Develop, maintain, and enhance scientific data processing and analysis capabilities.

Support the development and operation of research and pre-operational scientific systems. Collaborate with scientists, engineers, and external partners on multidisciplinary research projects. Analyze and interpret complex scientific datasets to support research objectives and model development.

Prepare technical reports, scientific publications, and presentations.PhD in Atmospheric Science, Physics, Mathematics, Computer Science, Earth Science, or related field. 12+ years of relevant scientific experience. Demonstrated experience with numerical modeling, high-performance computing, and scientific programming

Excellent written and verbal communication skills. Benefits: Paid Time Off Starting at 80 hrs/yr, 11 Federal holidays, and 40 hrs/yr Sick Leave 401K with up to 4% employer matching contribution Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Flexible spending account Health savings account Tuition reimbursementPhD in Atmospheric Science, Physics, Mathematics, Computer Science, Earth Science, or related field. 12+ years of relevant scientific experience.

Demonstrated experience with numerical modeling, high-performance computing, and scientific programming. Excellent written and verbal communication skills. Benefits: Paid Time Off Starting at 80 hrs/yr, 11 Federal holidays, and 40 hrs/yr Sick Leave 401K with up to 4% employer matching contribution Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Flexible spending account Health savings account Tuition reimbursement.