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Freelance Data Science Physics Jobs (NOW HIRING)

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

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 · 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

OpenX

Data Scientist III

S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related ...

OpenX

Data Scientist III

New York, NY · On-site +1

S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related ...

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 ...

OpenX

Data Scientist III

New York, NY · Remote

S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related ...

OpenX

Data Scientist III

New York, NY · On-site

S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 5+ years of relevant industry experience; OR a Ph.D. in a related ...

Thurn Partners

Sector Data Scientist

Manhattan, NY · On-site +1

Company Insight: A leading global investment firm is expanding its sector-focused data science ... Bachelor's degree in statistics, engineering, economics, computer science, physics, or a related ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

Diocese of Trenton

Physics

Red Bank, NJ · On-site

$42K - $60K/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 ...

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Freelance Data Science Physics information

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$37.5K

$122.7K

$196.5K

How much do freelance data science physics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for freelance data science physics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a freelancer's salary?

Freelance data science physicists typically earn between $50 and $150 per hour, depending on experience, skills, and project complexity. Annual income varies widely based on workload, with experienced freelancers earning six-figure sums by securing multiple projects and specialized expertise in data analysis, machine learning, and physics modeling.

Is it free lance or freelance?

The correct term is 'freelance,' which describes a self-employed professional working independently on projects such as data science or physics. Freelance data scientists often work on a contract basis, using skills in programming, statistical analysis, and tools like Python or R. The term 'free lance' is a common misspelling and is not correct.

What is the work of a freelancer?

A freelancer in data science and physics works independently to analyze data, develop models, and solve complex problems using programming tools like Python or R. They often collaborate with clients on project-based tasks, set their own schedules, and may need certifications or expertise in specific software or methodologies.

What does freelance mean?

Freelance in the context of a data science or physics role refers to working independently on a project basis rather than being employed full-time by a single employer. Freelancers typically set their own schedules, negotiate contracts directly with clients, and may work remotely using tools like Python, R, or cloud platforms. This arrangement offers flexibility but requires self-management and professional skills to secure projects and deliver results.

What is the difference between Freelance Data Science Physics vs Freelance Data Analyst?

AspectFreelance Data Science PhysicsFreelance Data Analyst
Required SkillsPhysics knowledge, data science, programming, statistical analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentProject-based, remote or on-site, research-focusedBusiness environments, remote or on-site, client-focused
Industry UsageResearch institutions, tech companies, academiaFinance, marketing, healthcare, retail

Freelance Data Science Physics involves applying physics principles and advanced data science techniques to complex datasets, often in research or tech sectors. Freelance Data Analysts focus on interpreting business data, creating reports, and supporting decision-making. While both roles require analytical skills, Data Science Physics emphasizes scientific expertise and programming, whereas Data Analysts concentrate on business insights and data visualization.

More about Freelance Data Science Physics jobs
What cities are hiring for Freelance Data Science Physics jobs? Cities with the most Freelance 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 Freelance Data Science Physics jobs? States with the most job openings for Freelance Data Science Physics jobs include:
What job categories do people searching Freelance Data Science Physics jobs look for? The top searched job categories for Freelance Data Science Physics jobs are:
Freelance Data Science Physics jobs near you
Infographic showing various Freelance Data Science Physics job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Redhorse Corporation

Tampa, FL

Full-time

Posted 20 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.
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.
 
Accommodations:
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. 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.