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Overnight 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 ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Progress toward a degree in mathematics, economics, statistics, computer science, physics, social ...

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

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 ...

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 ...

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 ...

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 ...

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

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

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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

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Overnight Data Science Physics information

Can data scientists make $300k?

Data scientists, including those working in specialized fields like physics or with advanced skills in machine learning and big data, can earn $300,000 or more at senior levels or in high-paying industries such as finance or technology. Achieving this salary typically requires extensive experience, advanced degrees, and proficiency with tools like Python, R, and cloud platforms. Entry-level or mid-career data scientists usually earn less than this amount.

Can a physics major be a data scientist?

Yes, a physics major can become a data scientist, as the field values strong analytical, mathematical, and programming skills often developed in physics programs. Additional knowledge of data analysis tools like Python, R, and machine learning techniques can enhance their qualifications for data science roles.

Is 40 too late for data science?

Age is not a barrier to entering data science, including roles like overnight data science positions. Success depends on skills, experience, and continuous learning; many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools.

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

AspectOvernight Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related field; programming skillsBachelor's in Statistics, Economics, or related field; analytical skills
Work EnvironmentTech companies, research labs, finance firms; often shift-basedCorporate offices, consulting firms; regular business hours
Industry UsageData-driven research, modeling, and simulation in physics and techBusiness insights, reporting, and data visualization across industries
Search & Comparison IntentUnderstanding job differences, qualifications, or shift workCareer planning, role comparison, or job requirements

Overnight Data Science Physics roles focus on applying physics principles to data modeling, often requiring advanced technical skills and shift work. Data Analysts typically handle business data analysis during regular hours, emphasizing reporting and visualization. Both roles involve data handling but differ in industry focus, work hours, and required expertise.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful features or data subsets to optimize model performance and reduce complexity.
More about Overnight Data Science Physics jobs
What cities are hiring for Overnight Data Science Physics jobs? Cities with the most Overnight 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 Overnight Data Science Physics jobs? States with the most job openings for Overnight Data Science Physics jobs include:
Infographic showing various Overnight Data Science Physics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 20% Full Time, and 79% Part Time. Highlights an 90% Physical, and 10% Remote job distribution.
Data Scientist

Full-time

Posted 8 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.