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Data Science Physics Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Coursework or project experience in statistical modeling, data analysis, or a related quantitative field (e.g., mathematics, economics, physics, computer science). * Familiarity with SQL for data ...

Posted today

$50/hr

Coursework or project experience in statistical modeling, data analysis, or a related quantitative field (e.g., mathematics, economics, physics, computer science). * Familiarity with SQL for data ...

Posted today

D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). * Minimum of 10 years of experience in Data Science or ...

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 ...

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 ...

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 ...

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Data Science Physics information

What is a Data Science Physics?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What does a Data Science Physics do?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in Data Science Physics?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

Can I get a data science job with a physics degree?

A physics degree provides a strong foundation in analytical thinking, mathematics, and problem-solving, which are valuable in data science roles. Many data scientists have backgrounds in physics, and skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL are often required. Gaining experience through projects, internships, or certifications can improve job prospects in this field.

How is data science used in physics?

Data science in physics involves analyzing large datasets from experiments and simulations to identify patterns, make predictions, and develop models. Physicists use tools like machine learning, statistical analysis, and data visualization to interpret complex phenomena and advance understanding in areas such as particle physics, astrophysics, and condensed matter research.
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Infographic showing various Data Science Physics job openings in the United States as of September 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution.
Esri
Scientific Research and Development Services • 1 - 5K employees

Full-time

Re-posted 23 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


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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Pay

Benefits

Hours and flexibility

Workplace

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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