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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 ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

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 ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

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 ...

Redhorse Corporation

Data Scientist

Tampa, FL

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

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Progress toward a degree in mathematics, economics, statistics, computer science, physics, social ...

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 ...

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

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

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

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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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 Jun 19, 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 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.

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.

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Data Science Physics jobs near you
Data Scientist - Predictive Analytics, Expert

Data Scientist - Predictive Analytics, Expert

Pacific Gas and Electric Company

Oakland, CA • On-site

$140K - $207K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Requisition ID # 167321
Job Category: Accounting / Finance
Job Level: Individual Contributor
Business Unit: Electric Engineering
Work Type: Hybrid
Job Location: Oakland
Department Overview
The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. This team of forward-thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company's reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project.
Position Summary
Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid.
In this role, the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross-functional teams, including data engineers, data scientists, technologists, and subject matter experts - this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates.
This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.
PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
Bay Area - $140,000 - $207,900
And/or
California - $133,000 - $198,000
Job Responsibilities
  • Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid.
  • Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible models,
  • Serves as the technical lead for the development of predictive/reliability analytics models.
  • Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models)
  • Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility.
  • Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals.
  • Communicate technical concepts and model results to internal/external stakeholders.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.
  • Act as peer reviewer of complex models

Qualifications
Minimum:
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
  • Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

Desired:
  • Doctorate degree with 5+ years or Master's degree with 8+ years in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or job-related discipline or equivalent experience
  • Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
  • Active participation in professional communities related to utility reliability, such as IEEE Power and Energy Society (PES), is a plus.
  • Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI).
  • Hands-on and theoretical experience in developing and deploying data science and ML models using Python.
  • Proven ability to formulate and solve unstructured, complex problems using data-driven approaches.
  • Proficiency in working with large datasets, including structured and unstructured data from diverse sources.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies

Purpose, Virtues and Stands
Our Purpose explains "why" we exist:
  • Delivering for our hometowns
  • Serving our planet
  • Leading with love

Our Virtues capture "who" we need to be:
  • Trustworthy
  • Empathetic
  • Curious
  • Tenacious
  • Nimble
  • Owners

Our Stands are "what" we will achieve together:
  • Everyone and everything is always safe
  • Catastrophic wildfires shall stop
  • It is enjoyable to work with and for PG&E
  • Clean and resilient energy for all
  • Our work shall create prosperity for all customers and investors

More About Our Company
EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice
PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.

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