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Data Science Physics Jobs in California (NOW HIRING)

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$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 ...

New

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 ...

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 ...

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 ...

DEUNA

Data Science intern

San Francisco, CA · On-site

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics ...

DEUNA

Data Science intern

San Francisco, CA · On-site

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Triwill Group

Data Science Intern

San Francisco, CA · On-site

$50/hr

... economics, physics, computer science). * Familiarity with SQL for data analysis and Python for ... programming or modeling. * Demonstrated interest in experimentation (A/B testing), causal inference ...

New

PG&E Corporation

Data Scientist, Expert

Oakland, CA · On-site +1

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. * 6 years in ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience with electric power grid data, and physics based understanding of electrical networks ...

Tapestry

Data Science Manager

Mountain View, CA

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience with electric power grid data, and physics based understanding of electrical networks ...

Salesforce

Data Science Principal

San Francisco, CA · On-site

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

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All JobsData Science Physics JobsData Science Physics Jobs in California

Data Science Physics information

See California salary details

$24K

$90.6K

$196.3K

How much do data science physics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data science physics in California is $90,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,617.00 and $134,644.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Data Science Physics jobs in California?

The most popular types of Data Science Physics jobs in California are:

What are popular job titles related to Data Science Physics jobs in California?

For Data Science Physics jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Physics jobs in California look for?

The top searched job categories for Data Science Physics jobs in California are:

What cities in California are hiring for Data Science Physics jobs?

Cities in California with the most Data Science Physics job openings:

Data Science Physics jobs near you
Infographic showing various Data Science Physics job openings in California as of September 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $90,571 per year, or $43.5 per hour.

Data Science Intern

San Francisco, CA • On-site

Unchain Data
See more jobs at Unchain Dataexternal

$50/hr

Other

Posted 2 days ago

New

Job description

About Us

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."

The Role

This is a 12-week internship during summer 2027.

As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business impact. This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design experiments, build models, and deliver data-driven recommendations that shape how millions of customers experience crypto. You will gain hands-on experience at a publicly traded crypto-native company, with mentorship from senior data scientists and direct exposure to how data shapes the company.

Responsibilities
  • Collaborate with product teams to create analyses and build models that drive measurable business outcomes.
  • Support the design and execution of experiments, including A/B tests and causal inference methods.
  • Build and maintain analytical datasets and pipelines that ensure data integrity and power your analyses and models.
  • Distill complex analyses into clear, actionable insights through data-driven storytelling for technical and non-technical audiences.
  • Partner with senior team members on analytical deep dives to diagnose and address complex business problems.
Requirements
  • 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 analysis and Python for programming or modeling.
  • Demonstrated interest in experimentation (A/B testing), causal inference, or machine learning through coursework or projects.
  • Currently pursuing a BA/BS or graduate degree in a quantitative discipline (e.g., Math, Statistics, Physics, Computer Science, Economics) or equivalent experience.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Compensation

Hourly Rate: $50 USD

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