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Data Science Physics Jobs (NOW HIRING)

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 ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$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 ...

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 ...

GenLogs

Data Scientist

ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the ... You bring a background in engineering, computer science, physics, applied math, or another hard ...

Equifax, Inc.

Data Scientist - Career

Atlanta, GA · On-site

... Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred - 5-7 years experience applying predictive analytics and modeling to ...

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 ...

Bogota Public Schools

Physics Teacher

Bogota, NJ · On-site

$52K - $112K/yr

High School Teaching/Science - Physics Date Posted: 6/1/2026 Location: Bogota Jr/Sr High School ... Assess student learning using formative and summative assessments and use data to guide instruction

OpenX

Staff Data Scientist

New York, NY · Remote

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

OpenX

Staff Data Scientist

New York, NY

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other ...

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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
Co-Op, Data Science

Co-Op, Data Science

LiveRamp

San Francisco, CA • On-site

$31 - $49/hr

Full-time

Posted 3 hours ago

Job description

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility-and have a good bit of fun along the way. We're always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your internship or Co-op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!
Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship.
Co-ops range between 12-24 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your Co-op.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering team!
You will:
  • Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
  • Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
  • Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
  • Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
  • Troubleshoot internal and external models by understanding the key ingredients and underlying assumptions of the models.
  • Basic familiarity with prompt engineering and a proactive willingness to adopt new AI-driven productivity tools.

About you:
  • Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills
  • Pursuing or completed a degree in a Data Science related field (e.g. 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 others to solve hard problems
  • Possess a startup personality: smart, ethical, friendly, hard-working and proactive
  • Excited to work with products that have close interactions with customers

Preferred Skills:
  • Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
  • Experience contributing to a mature Python-centric code base.
  • Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
  • Experience writing SQL and working with relational databases.
  • Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
  • Knowledge of Big Data stacks such as Hadoop and Spark
  • Experience with AWS and/or GCP cloud providers
  • Experience with Agile software development

The approximate hourly base compensation range is $31.00 to $49.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

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