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Data Science Physics Jobs (NOW HIRING)

Esri

Data Scientist I

Saint Louis, MO · On-site

$70.30K - $110.24K/yr

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 ...

Micron

Sr Data Scientist, TPG

Folsom, CA · On-site

$114K - $286K/yr

As a Senior Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology ...

Micron Technology

Sr Data Scientist, TPG

Boise, ID · On-site

$114K - $286K/yr

As a Senior Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology ...

Micron

Sr Data Scientist, TPG

Boise, ID

$114K - $286K/yr

As a Senior Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology ...

Deloitte

Data Science Consultant

Saint Louis, MO

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Nashville, TN · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new data science techniques and technologies * Willing to dive in and learn by doing * Ready to work with ...

Deloitte

Data Science Consultant

Mclean, VA · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Boston, MA

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Atlanta, GA · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Kansas City, MO

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Tempe, AZ

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Detroit, MI

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Minneapolis, MN

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

New York, NY · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Atlanta, GA · On-site

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ... A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ...

Deloitte

Data Science Consultant

Austin, TX

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

Deloitte

Data Science Consultant

Columbus, OH

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning ... Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ...

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Data Science Physics information

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$24.5K

$92.5K

$200.5K

How much do data science physics jobs pay per year?

As of May 28, 2026, the average yearly pay for data science physics in the United States is $92,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Data Science Physics job?

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 are the key skills and qualifications needed to thrive in the Data Science Physics position, and why are they important?

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.

What does a typical day look like for someone working in Data Science Physics?

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.
More about Data Science Physics jobs
What cities are hiring for Data Science Physics jobs? Cities with the most 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 Data Science Physics jobs? States with the most job openings for Data Science Physics jobs include:
What job categories do people searching Data Science Physics jobs look for? The top searched job categories for Data Science Physics jobs are:
Data Science Physics jobs near you
Infographic showing various Data Science Physics job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 13% Full Time, 82% Part Time, and 3% Temporary. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $92,492 per year, or $44.5 per hour.
Data Scientist I

Data Scientist I

Esri

Saint Louis, MO • On-site

$70.30K - $110.24K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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

#LI-AN1
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Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$70,304-$110,240 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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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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