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Internship Data Science Physics Jobs in Washington

Leidos

Senior Data Scientist

Reston, VA · On-site

... physics based models capable of supporting various simulations. This role supports customers ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Leidos

Senior Data Scientist

Reston, VA

... physics based models capable of supporting various simulations. This role supports customers ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 3+ years of experience in Data Science or Analysis * Solid ...

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 3+ years of experience in Data Science or Analysis • Solid ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross ... Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math ...

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All JobsData Science Physics JobsInternship Data Science Physics JobsInternship Data Science Physics Jobs in Washington

Internship Data Science Physics information

What are the key skills and qualifications needed to thrive as an Internship Data Science Physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

What is the difference between Internship Data Science Physics vs Data Analyst Intern?

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

What types of projects or tasks can I expect to work on during a Data Science Physics internship?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What are Internship Data Science Physics positions?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.
What are the most commonly searched types of Data Science Physics jobs in Washington? The most popular types of Data Science Physics jobs in Washington are:
What are popular job titles related to Internship Data Science Physics jobs in Washington? For Internship Data Science Physics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Internship Data Science Physics jobs in Washington look for? The top searched job categories for Internship Data Science Physics jobs in Washington are:
Internship Data Science Physics jobs near you

Scientist IV

Science and Technology Corporation (STC)

Greenbelt, MD • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 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.

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