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Internship Data Science Physics Jobs in Wisconsin

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related ...

Varsity Tutors

IB Physics Tutor

Madison, WI · Remote

$18 - $40/hr

Ability to explain IB data booklet formula usage and IA requirements while preparing students for ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Physics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

Varsity Tutors

College Physics Tutor

Madison, WI · Remote

$18 - $40/hr

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

Varsity Tutors

IB Physics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Ability to explain IB data booklet formula usage and IA requirements while preparing students for ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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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 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 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 are popular job titles related to Internship Data Science Physics jobs in Wisconsin? For Internship Data Science Physics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Internship Data Science Physics jobs in Wisconsin look for? The top searched job categories for Internship Data Science Physics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Data Science Physics jobs? Cities in Wisconsin with the most Internship Data Science Physics job openings:
Internship Data Science Physics jobs near you
Infographic showing various Internship Data Science Physics job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Scientist (Family Experience)

Socket.dev

Waupun, WI • On-site

$110 - $170/hr

Other

Posted 3 days ago

New

Job description

  • Shape the Family & Experiences roadmap with strategic data science guidance across parent linking, consent, and parent engagement
  • Identify and size the highest-impact levers to improve parent links, engagement, and consent rates
  • Design and evaluate features across onboarding, linking, verification, consent, and Family Hub experiences
  • Apply experimentation and causal inference to understand how parent engagement influences child and family outcomes
  • Define success metrics and measurement frameworks for launches, funnels, and long-term product health
  • Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions
  • Translate friction points in the parent journey into actionable product recommendations
  • Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions- Ability to apply creative first-principles reasoning to solve ambiguous problems
  • 2+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • 5+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
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