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Remote Data Science Astronomy Jobs (NOW HIRING)

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... a Analyst or in Data Science * Strong Python programming skills and experience with common ML ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Astronomy Tutor

AZ · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Schaumburg, IL · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Mount Vernon, NY · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Carrollton, GA · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Memphis, TN · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Astronomy Tutor

Hialeah, FL · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

Showing results 41-60

Remote Data Science Astronomy information

What is a remote data science astronomy?

A Remote Data Science Astronomy job involves using data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze astronomical data and solve problems in astronomy, all while working remotely. Professionals in this role process large datasets collected from telescopes or space missions to discover patterns, classify celestial objects, or make predictions about cosmic phenomena. This position typically requires strong programming skills, familiarity with astronomical datasets, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a remote data science astronomer?

To thrive as a Remote Data Science Astronomer, you need a strong background in astrophysics, statistics, and data analysis, typically supported by a degree in astronomy, physics, or a related field. Proficiency with programming languages such as Python or R, experience with astronomical data processing tools (e.g., Astropy, IRAF), and familiarity with machine learning libraries are commonly required. Strong problem-solving skills, self-motivation, and effective communication are essential soft skills for collaborating remotely and interpreting complex data. These skills enable the accurate extraction of scientific insights from large datasets, drive research innovation, and ensure smooth coordination in distributed scientific teams.

What are some typical challenges faced by remote data science astronomers, and how can they be addressed?

Remote data science astronomers often face challenges related to accessing large datasets, collaborating effectively with distributed teams, and staying updated with the latest research tools. Utilizing cloud-based platforms and secure data-sharing protocols can help manage big astronomical datasets efficiently. Regular virtual meetings and clear communication channels are essential to maintain strong team collaboration. Additionally, participating in online workshops or communities can help remote astronomers stay current with new analytical methods and industry standards.

What is the difference between Remote Data Science Astronomy vs Remote Data Science Astrophysics?

AspectRemote Data Science AstronomyRemote Data Science Astrophysics
Required CredentialsBachelor's or Master's in Astronomy, Data Science, or related fieldsBachelor's or Master's in Astrophysics, Data Science, or related fields
Work EnvironmentResearch institutions, observatories, universities, or tech companiesResearch institutions, observatories, universities, or tech companies
Industry UsageAcademic research, space agencies, tech startups

Remote Data Science Astronomy and Remote Data Science Astrophysics share similar credentials and work environments, often involving research institutions and tech companies. The main difference lies in their focus: Astronomy emphasizes observational data and celestial phenomena, while Astrophysics concentrates on theoretical models and physical processes of celestial bodies. Both roles require strong data analysis skills and relevant educational backgrounds, making them closely related but distinct in their scientific emphasis.

More about Remote Data Science Astronomy jobs

What cities are hiring for Remote Data Science Astronomy jobs?

Cities with the most Remote Data Science Astronomy job openings:

What are the most commonly searched types of Data Science Astronomy jobs?

The most popular types of Data Science Astronomy jobs are:

What states have the most Remote Data Science Astronomy jobs?

States with the most job openings for Remote Data Science Astronomy jobs include:

What other helpful pages are available for Remote Data Science Astronomy?

Other pages related to Remote Data Science Astronomy:

Infographic showing various Remote Data Science Astronomy job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Scientist, Data Science Team

Remote

College Board
Education Programs Administration • 1 - 5K employees

Full-time

Re-posted 20 days ago


Job description

College Board - Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization's strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data exploration, analysis, and prototyping (40%)
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
  • Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)
  • Help the team break down the work into manageable tasks and support our Agile maturity
  • Substantially improve the team's productivity and quality by enhancing tools, processes, and code structure
  • Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
  • Assist in the identification and resolution of production issues

About you, you have:
  • Ideally a Master's in a quantitative discipline or computer science, or a Bachelor's and 2-3 years related experience, or 3+ years related experience.
  • Programming expertise in Python (Pandas)
  • Experience in data and statistical analysis
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board's Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
  • A commitment to candid, timely, respectful feedback
  • A learner orientation and an openness to ideas and diverse perspectives
  • The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs
  • Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward
  • A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose
  • A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $135,000-$163,000.
  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.
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