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Internship Data Science Physics Jobs in Washington

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

STR

Senior Data Scientist

Arlington, VA · On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

ManTech

Data Scientist

Fort George G Meade, MD

$141K - $236K/yr

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

STR

Senior Data Scientist

Arlington, VA · On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

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Internship Data Science Physics information

What is an internship data science physics?

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 types of projects or tasks can I expect to work on during an internship data science physics?

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 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 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:

What cities in Washington are hiring for Internship Data Science Physics jobs?

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

Internship Data Science Physics jobs near you

2027 Internship - Data Science - System Performance Evaluation

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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 majoring in Data Science, Statistics, Mathematics, or Computer Science, we would love to have you join our team! We are seeking a data scientist intern 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...
  • Are pursuing a degree in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with or knowledge of Python and/or R
  • Have experience with developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, or statistical and machine learning methodologies for analysis
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain a final Secret level security 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.
  • Have a minimum 3.0 GPA on a 4.0 scale.

You'll go above and beyond our minimum requirements if you...
  • Have a Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field
  • Have experience with statistical analysis methodologies and design of experiments
  • Have experience with or knowledge of 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
$22.60 Hourly
Maximum Rate
$47.95 Hourly

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