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Data Science Physics Jobs (NOW HIRING)

D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). • Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud). • ...

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 ...

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 ...

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 ...

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 ...

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js)

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

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 ...

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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.
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:
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

Full-time

Posted 3 days ago


Job description

Job Summary:
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics, focusing on accelerating AI-enabled capabilities and modernizing logistics through data integration and analysis.
Responsibilities:
• Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
• Identify the intersection between strategic business value and achievable technical work within the logistics domain.
• Articulate and translate complex business questions into technical solutions using available DoD data sources.
• Explore and analyze diverse datasets to identify meaningful entities, relationships, and trends.
• Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models.
• Develop applications and effective data visualizations to communicate complex insights to non-technical stakeholders.
• Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy across the enterprise.
Qualifications:
Required:
• An active Secret security clearance is required.
• 8+ years of professional experience in data science, analytics, or a related technical field.
• Master’s degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).
• Proficiency in functional programming languages such as Python, R, or Scala.
• Strong experience with database languages, specifically SQL.
• Demonstrated ability to discern and apply appropriate statistical approaches for different mission contexts.
• Proven experience communicating key findings through technical visualizations and briefings.
• Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.
• Ability to travel up to 10% as required by the mission.
Preferred:
• Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
• Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud).
• Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks).
• Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or custom D3.js).
• Familiarity with DoD logistics data or USCENTCOM mission sets.
Company:
We want to improve the way government interacts with and uses data and technology. Founded in 2007, the company is headquartered in San Diego, USA, with a team of 201-500 employees. The company is currently Growth Stage.