1

Summer Data Science Physics Jobs (NOW HIRING)

D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). โ€ข Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud). โ€ข ...

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field ...

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Data Scientist Intern

Boston, MA ยท On-site

$20 - $30/hr

Please note, this is a 12-16 week summer internship from June to August/September. You must be able ... D. in Data Science, Computer Science, Physics, or equivalent. * Collaborative spirit with keen ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

next page

Showing results 1-20

Summer Data Science Physics information

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

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 a Summer Data Science Physics job?

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 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 cities are hiring for Summer Data Science Physics jobs? Cities with the most Summer Data Science Physics job openings:
What are the most commonly searched types of Data Science Physics jobs? The most popular types of Data Science Physics jobs are:
What states have the most Summer Data Science Physics jobs? States with the most job openings for Summer Data Science Physics jobs include:

2026 Internship, Summer - Data Science

AEG

Morristown, NJ โ€ข On-site

Internship

Posted 24 days ago


Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
About the job
Red Bull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league's ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY's First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company Red Bull GmbH, after which the team is named.
RBNY's First Team is a three-time MLS Supporters' Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation's premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY's Academy is ranked among the top development organizations in the country.
Purpose of this InternshipDuring your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments - including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.
This is an unpaid, for credit internship (proof that you will receive credit is required).All the responsibilities we'll trust you with:
Communication Skills In An Elite Sporting Environment
Ability to foster a data-driven culture
How to create new Key Performance Indicators across a multitude of different departments
How to create algorithms and processes in an elite sporting environment
Your areas of knowledge and expertise that matter most for this role:

  • Proficient in R / SQL
  • Proficient in Microsoft Office Suite
  • Experience with Web Scraping
  • Excellent Communicator
  • In a Mathematics, Data Science, or Computer Science Program

Because of the cyclical nature of the entertainment industry, your assigned hours may vary to reflect our needs (includes nights and weekends).
Red Bull New York is an equal opportunity employer and we will not discriminate against any employee or applicant for employment because of age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality or any other classification protected by law.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992