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Remote Space Science Jobs in Missouri (NOW HIRING)

Jobgether

You will collaborate with interdisciplinary teams in a remote environment focused on scientific ... Opportunity to work in the healthcare technology and precision medicine space. * Competitive ...

ITW

National Sales Manager

MO · Remote

These talented individuals, many of whom have specialized engineering or scientific expertise ... The role is a remote position; location base will be reviewed as this position covers all regions ...

Bestzyme

Sr./ Sales Manager, Sweet Protein

Saint Louis, MO · Remote

$100K - $130K/yr

We understand the importance of nurturing science not just for today, but for preserving tomorrow ... United States - Remote The estimated salary range is $100,000 - $130,000 based on experience level.

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Remote Space Science information

What is the difference between Remote Space Science vs Remote Astrophysics?

AspectRemote Space ScienceRemote Astrophysics
Required CredentialsBachelor's or higher in space science, physics, or related fields; often requires research experienceBachelor's or higher in physics, astronomy, or astrophysics; strong analytical skills needed
Work EnvironmentResearch institutions, space agencies, universities; primarily remote with occasional fieldworkAcademic and research settings, observatories, space agencies; mostly remote with data analysis focus
Employer & Industry UsageNASA, ESA, private space companies, universitiesNASA, academic institutions, research labs, observatories

Remote Space Science and Remote Astrophysics share similar educational backgrounds and work environments, often involving research and data analysis for space-related projects. However, Remote Space Science tends to have a broader focus on space exploration and technology, while Remote Astrophysics concentrates more on understanding celestial phenomena. Both roles are vital in advancing our knowledge of the universe and are frequently searched for by professionals interested in space research careers.

How do remote space science professionals typically collaborate with research teams and mission control centers?

Remote space science professionals often work closely with multidisciplinary teams, including scientists, engineers, and mission operators, primarily through digital communication tools such as video conferencing, shared data platforms, and project management software. Collaboration is crucial for tasks like analyzing data from remote instruments, coordinating observation schedules, and troubleshooting technical issues. Regular virtual meetings and real-time messaging ensure that remote team members remain aligned with ongoing mission objectives and can contribute effectively from any location. This structure allows for flexible work arrangements while maintaining high levels of teamwork and information flow.

What is a remote space scientist?

A remote space scientist is a professional who studies space, celestial bodies, and related phenomena while working from a location outside of traditional research institutions or laboratories. They typically use data from satellites, telescopes, and other remote sensing equipment to conduct research, analyze findings, and collaborate with teams virtually. This role often involves tasks such as analyzing astronomical data, developing models, and publishing scientific research, all of which can be done remotely thanks to advancements in technology and data accessibility. Remote space scientists may work for universities, government agencies, or private companies. The flexibility of remote work allows them to contribute to space science from virtually anywhere in the world.

What are the key skills and qualifications needed to thrive as a Remote Space Scientist, and why are they important?

To thrive as a Remote Space Scientist, you need a strong background in physics, astronomy, or planetary science, often supported by an advanced degree such as a master's or Ph.D. and research experience. Familiarity with remote sensing software, data analysis tools (like MATLAB or Python), and satellite imaging systems is typically required. Critical thinking, problem-solving, and effective collaboration are vital soft skills for interpreting complex data and working with multidisciplinary teams remotely. These skills and qualifications are crucial for advancing scientific understanding and ensuring high-quality research in the evolving field of space science.
What are popular job titles related to Remote Space Science jobs in Missouri? For Remote Space Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Space Science jobs in Missouri look for? The top searched job categories for Remote Space Science jobs in Missouri are:
Remote Space Science jobs near you
Infographic showing various Remote Space Science job openings in Missouri as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 51% Physical, 4% Hybrid, and 45% Remote job distribution.
Data Analyst - GEOINT Technical SME

Data Analyst - GEOINT Technical SME

Science Applications International Corporation

Saint Louis, MO • Remote

Other

Posted 23 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

77th of 230 rated it services

Job description

The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs.

Work will be performed at the customer site in St. Louis, MO. 

The hiring of this position in contingent upon contract award. Anticipated award is fall of 2026.

Duties May Include:

  • Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals
  • Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency
  • Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures
  • Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams
  • Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring
  • Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Skills:

Education: A minimum of a Bachelor's Degree in Data Science, Statistics, Business, or a related field

Experience:

  • 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
  • Experience in collaborating with stakeholders to clarify project needs and business objectives
    Familiarity with the concepts of analytical model development and maintenance
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
  • Proficiency in creating and editing visual content such as charts and graphs to represent data
  • At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Desired Skills:

  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
  • Experience with policy development or process improvement initiatives
  • Familiarity with GEOINT analysis software or Customer-specific applications

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