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Summer Data Science Physics Jobs in Washington (NOW HIRING)

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA

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 ...

teKnoluxion

Data Science Analyst

Springfield, VA

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... physics, mathematics, operations research, engineering management, Computer Science, Information ...

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 ...

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs * Dash | Data ... Computational physics | NumPy | Numerical Simulation | Pandas | Physics modeling * Electromagnetism ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

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 ...

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 ...

Johns Hopkins Applied Physics Lab

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information ...

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All JobsSummer Data Science Physics JobsSummer Data Science Physics Jobs in Washington

Summer Data Science Physics information

What is a Summer Data Science Physics?

A Summer Data Science Physics job is a temporary, usually internship-based position where students or recent graduates apply data science techniques to solve problems in physics. These roles typically involve working with large datasets, coding in languages like Python, and using statistical or machine learning methods to analyze experimental or simulation data. The goal is to gain hands-on experience at the intersection of physics and data science, often contributing to research projects or industry applications. Such positions are common at universities, research labs, and tech companies during the summer months, providing valuable exposure to both fields.

What are the key skills and qualifications needed to thrive as a Summer Data Science Physics intern?

To thrive as a Summer Data Science Physics intern, you need a solid background in physics, statistics, and programming, typically supported by coursework or a degree in physics, data science, or a related field. Familiarity with programming languages such as Python, data analysis libraries (e.g., NumPy, Pandas), and data visualization tools is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for extracting meaningful insights from scientific data and contributing to research projects in a collaborative environment.

What types of projects or research tasks can I expect to work on in a Summer Data Science Physics role?

In a Summer Data Science Physics position, you'll likely engage in projects that involve analyzing large datasets from physics experiments or simulations. Common tasks include data cleaning, statistical analysis, building predictive models, and visualizing results to support ongoing research. You'll often collaborate with physicists and data scientists, contributing to the interpretation of experimental data or the development of computational tools. This role offers a fast-paced, collaborative environment where you'll gain hands-on experience with both physics concepts and practical data science techniques.

What is the difference between Summer Data Science Physics vs Summer Data Science Engineering?

AspectSummer Data Science PhysicsSummer Data Science Engineering
Required CredentialsTypically requires physics or data science coursework, basic programming skillsRequires engineering fundamentals, programming, and data analysis skills
Work EnvironmentResearch labs, academic institutions, tech companiesManufacturing, product development, tech firms
Industry UsageResearch, academia, tech industryEngineering, manufacturing, software development
Common Search IntentComparing physics-focused data science roles with engineering data science rolesUnderstanding differences between physics and engineering data science internships

Summer Data Science Physics roles focus on applying data analysis within physics research or academic settings, often emphasizing theoretical understanding. In contrast, Summer Data Science Engineering positions are geared toward practical engineering applications, product development, and manufacturing. Both roles require programming skills and data analysis, but their industry focus and work environments differ significantly.

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 cities in Washington are hiring for Summer Data Science Physics jobs?

Cities in Washington with the most Summer Data Science Physics job openings:

Summer Data Science Physics jobs near you

2026 Graduate - Data Science - System Performance Evaluation

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Job description

Description
Do you enjoy manipulating and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to improve and build upon your projects?
If you are graduating with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist to leverage their computational and analytical skills supporting multi-disciplinary teams on a variety of technological and methodological innovations to create analysis and assessment approaches for many defense and national security applications. You will be joining our team of hardworking engineers, software developers, data scientists, and analysts committed to advancing the state of the art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities, and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team you will...
  • Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Develop Build models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder's needs across a variety of domains

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have classroom or professional experience in developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, and statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have a Master's in Data Science, Statistics, Mathematics, or Computer Science or related field
  • Have classroom or professional experience with statistical analysis methodologies and design of experiments.
  • Classroom or professional experience with SQL and Data Science frameworks (such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, or more)

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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