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Data Science Physics Jobs (NOW HIRING)

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

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 · On-site

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

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 ...

Diocese of Trenton

Physics

Red Bank, NJ · On-site

$42K - $50K/yr

High School Teaching/Science - Physics Date Posted: 4/30/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

Diocese of Trenton

Physics

Red Bank, NJ · On-site

$44K - $55K/yr

High School Teaching/Science - Physics Date Posted: 6/2/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

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 ...

Motion

Data Scientist

Birmingham, AL · On-site

They are seeking a Data Scientist who will analyze data, design machine learning models, and ... Required : • Typically requires a bachelor's degree in Mathematics, Computer Science, Physics ...

New

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/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 ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... physics, social sciences, or other quantitative discipline. ● Relevant work experience is ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... physics, social sciences, or other quantitative discipline. • Relevant work experience is ...

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All JobsData Science Physics Jobs

Data Science Physics information

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.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Scientist

Data Scientist

Redhorse Corporation

Tampa, FL • On-site

Full-time

Re-posted 18 days ago

Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
Key Responsibilities
  • Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
  • Identify the intersection between strategic business value, simulation-based forecasting, and achievable technical work within the logistics domain.
  • Articulate and translate complex business questions into technical solutions using available DoD data sources and mission-level modeling outputs.
  • Explore and analyze diverse datasets—including live telemetry and simulated environments—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 and stochastic simulations.
  • Develop applications, simulation dashboards, and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders.
  • Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and modeling proficiency across the enterprise.
Required Experience/Clearance
    • An active Secret security clearance is required (TS/SCI eligibility preferred).
    • 8+ years of professional experience in data science, analytics, or Operations Research.
    • 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 Modeling & Simulation (M&S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).
    • Strong experience with database languages, specifically SQL.
    • Demonstrated ability to discern and apply appropriate statistical and probabilistic modeling approaches for different mission contexts.
    • Proven experience communicating key findings through technical visualizations, simulated course-of-action briefings, and technical reports.
    • 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.
     
Desired Experience
  • Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
  • Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE).
  • 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 R/Shiny).
  • Familiarity with DoD logistics data, USCENTCOM mission sets, and Joint Staff modeling requirements.
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
 
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
 
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.