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Summer Data Science Physics Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Physics

Red Bank, NJ ยท On-site

$42K - $50K/yr

High School Teaching/Science - Physics Date Posted: 4/30/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

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 ...

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 ...

... Physics or a closely related field. * 3+ years of experience in data science or machine learning ... * 3+ years of experience in programming in Python and familiarity with data engineering workflows ...

... Physics or a closely related field. * 3+ years of experience in data science or machine learning ... * 3+ years of experience in programming in Python and familiarity with data engineering workflows ...

... Physics or a closely related field. * 3+ years of experience in data science or machine learning ... * 3+ years of experience in programming in Python and familiarity with data engineering workflows ...

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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:
Staff Data Scientist

Staff Data Scientist

Databricks

San Francisco, CA โ€ข On-site

Full-time

Posted 21 days ago


Job description

Job Summary:
Databricks is a leading data and AI company that provides a Data Intelligence Platform to help organizations solve complex problems. The Staff Data Scientist will shape key data science areas, work closely with various teams to make data-driven decisions, and mentor junior data scientists while representing the data science discipline across the organization.
Responsibilities:
โ€ข Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
โ€ข Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.
โ€ข Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
โ€ข Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
โ€ข Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
โ€ข Build self-serving internal data products to make data simple within the company.
โ€ข Represent Databricks at academic and industrial conferences & events.
Qualifications:
Required:
โ€ข 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
โ€ข Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
โ€ข Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis.
โ€ข Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations.
โ€ข Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
โ€ข Proficient in data analysis and visualization using tools like R and Python.
โ€ข Experience with distributed data processing systems like Spark, and proficiency in SQL.
โ€ข MS or Ph.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 engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.