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Summer Data Science Physics Jobs (NOW HIRING)

Esri

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 ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · 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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

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 ...

SentiLink

Data Scientist, New Grad

As a Data Scientist, you will build fraud detection models and advance products in financial risk ... Required : • Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics ...

Applied Physics

Data Scientist

New York, NY · On-site

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 ...

Applied Physics

Data Scientist

New York, NY · On-site

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 ...

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

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

Redhorse Corporation

Data Scientist

Tampa, FL

$145K - $165K/yr

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

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All JobsSummer Data Science Physics Jobs

Summer Data Science Physics information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize models and improve efficiency.

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 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.

Does NASA hire data scientists?

Yes, NASA hires data scientists to analyze large datasets related to space missions, climate, and engineering. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or MATLAB. Data scientists at NASA contribute to research, mission planning, and data-driven decision making.

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 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.

Is 30 too late for data science?

Age is not a strict barrier for a data science career, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Can data scientists make $300k?

Data scientists, including those working in physics-related roles, can earn $300,000 or more at senior levels or in high-paying industries such as finance or technology, especially with extensive experience, advanced skills in machine learning, and strong domain expertise. Achieving this salary often requires advanced degrees, specialized knowledge, and a track record of impactful projects.
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:
Summer Data Science Physics jobs near you

Data Scientist I

Esri

Other

Re-posted 12 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

Overview

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.

We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.

Responsibilities

  • Consult closely with customers to understand their needs
  • Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
  • Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
  • Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
  • Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
  • Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
  • Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery

Requirements

  • 1+ years of professional experience in a similar position, supporting similar responsibilities
  • Professional experience with practical machine learning experience or relevant academic/lab work
  • Hands-on relevant experience in generative AI, large language models, and/or agentic systems
  • Fundamental understanding of mathematical and machine learning concepts
  • Applied statistics experience
  • Experience developing machine learning solutions, preferably in Python
  • Ability to produce compelling data visualizations to convey results
  • Strong communication skills, including the ability to explain technical concepts to non-technical audiences
  • US citizenship and willingness and ability to maintain a US Security Clearance
  • Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field

Recommended Qualifications

  • Experience with spatial and GIS concepts, preferably using Esri software
  • Master's degree in mathematics, statistics, computer science, physics, or a STEM related field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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