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Remote Space Science Jobs in Georgia (NOW HIRING)

CSAA

Our mission is to reinvent commercial insurance in the mobility space to offer our partners ... BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post bachelor ...

CSAA

Our mission is to reinvent commercial insurance in the mobility space to offer our partners ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

Pae

IMINT Analyst Expert

Fort Eisenhower, GA · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant STEM field, or political science * Relevant specialized experience must be in the application of space ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research ...

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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 the most commonly searched types of Space Science jobs in Georgia? The most popular types of Space Science jobs in Georgia are:
What are popular job titles related to Remote Space Science jobs in Georgia? For Remote Space Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Space Science jobs in Georgia look for? The top searched job categories for Remote Space Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Space Science jobs? Cities in Georgia with the most Remote Space Science job openings:
Remote Space Science jobs near you
Data Science Manager - Space Intelligence (Remote)

Data Science Manager - Space Intelligence (Remote)

Home Depot

Atlanta, GA • On-site, Remote

Full-time

Posted 16 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,355 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and Process teams to ingest business requirements and translate them into a scalable technical roadmap, overseeing the development of business rules, AI/ML algorithms, and optimization techniques that accurately reflect merchandising intent. As the technical owner of the solution, this leader designs the end-to-end technical strategy to integrate tools and platforms together into a cohesive, scalable process, ensuring the underlying math, automation logic, and learning systems are sound, efficient, and adaptable.
As a people and technical leader, the Data Science Manager leads and mentors a team of data scientists and solution engineers, setting coding standards, QA processes, and deployment best practices to ensure solutions are robust, maintainable, and production-ready. Acting as a trusted technical advisor to Strategy and business partners, this role evaluates proposed initiatives for technical feasibility, identifies advanced analytical and AI opportunities, and translates high-level business goals into impactful automated systems. The role also collaborates closely with fellow Data Science Managers to align approaches, manage talent effectively, and deliver clear, executive-level communication that drives alignment across all levels of the organization.
Key Responsibilities:
  • 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
  • 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
  • 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
  • 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged

Direct Manager/Direct Reports:
  • This position typically reports to Senior Manager or above
  • This position has Direct Reports & manages programs

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related technical field.
  • 7+ years of industry experience in data science, applied machine learning, or software engineering, and 2+ years in a people or technical leadership role.
  • Strong foundation in applied data science with experience building and maintaining production-grade software, coupled with the ability to set technical direction, establish standards, and drive data science and engineering excellence from concept through production at scale.
  • Hands-on experience developing AI-powered tools and platforms that integrate seamlessly with existing enterprise software ecosystems.
  • Proficiency in python and solid understanding of engineering best practices, including APIs, microservices, version control, CI/CD, testing and deployment.
  • Experience designing and operating large-scale data pipelines and distributed systems with AI/ML components, preferably on cloud platforms such as GCP and VertexAI.
  • Familiar with microservices architectures and deploying models and APIs in containerized, cloud-neutral environments.
  • Familiar with or contributed to AI agents or agentic applications in real-world, production settings.
  • Proven ability to translate complex business processes and strategy into scalable, maintainable architectures, including well-orchestrated data and ML pipelines, while clearly communicating technical constraints and trade-offs to non-technical stakeholders.
  • Domain experience in retail, merchandising, e-commerce, or supply chain, or familiarity in space intelligence concepts such as store layout optimization, merchandising analytics, computer vision, and LLM-based solutions.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 8

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $110,000.00 - $240,000.00

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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