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Part Time Data Science Astronomy Jobs (NOW HIRING)

Acres.com Career

Data Intern

Fayetteville, NC · On-site

About The Role Acres is seeking a part-time Data Intern based in Northwest Arkansas to join our growing data science team. As a Data Entry Intern, you will work closely with our Data Team researching ...

Acretrader, Inc.

Data Intern

Fayetteville, AR · On-site

About The Role Acres is seeking a part-time Data Intern based in Northwest Arkansas to join our growing data science team. As a Data Entry Intern, you will work closely with our Data Team researching ...

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

NCSU

Data Science Librarian

Raleigh, NC

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

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Part Time Data Science Astronomy information

What is a part time data science astronomy?

A part-time data science astronomy job involves applying data science techniques, such as statistical analysis, machine learning, and programming, to analyze astronomical data on a flexible, reduced-hour schedule. These roles typically assist research teams in processing large datasets from telescopes or simulations, identifying patterns, and generating scientific insights. Part-time positions may be ideal for students, researchers, or professionals seeking to balance work with other commitments while contributing to astronomy projects.

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

To thrive as a Part Time Data Science Astronomer, you need a strong background in astronomy, data analysis, statistics, and typically a degree in physics, astronomy, or a related quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of astronomical data systems or software like Astropy are usually required. Strong analytical thinking, attention to detail, and the ability to communicate complex results clearly help individuals stand out in this role. These skills are essential for extracting meaningful insights from large datasets, advancing astronomical research, and effectively collaborating with scientific teams.

What are some common challenges faced by part time data science astronomers, and how can they be managed?

Part-time data science professionals in astronomy often encounter challenges such as managing large datasets, staying updated with rapidly evolving research, and coordinating with full-time team members who may be on different schedules. To address these challenges, clear communication and regular check-ins with the team are essential. Additionally, leveraging collaborative tools and maintaining well-documented code can help ensure smooth workflow and knowledge sharing, making it easier to contribute effectively even with limited hours.

How is data science used in astronomy?

Data science in astronomy involves analyzing large datasets from telescopes and space missions to identify patterns, classify celestial objects, and detect phenomena such as exoplanets or supernovae. Data scientists use tools like Python, R, and machine learning algorithms to process and interpret complex astronomical data efficiently.

Is it possible to work part-time as a data science astronomer?

Part-time roles in data science astronomy are possible, especially in research institutions, observatories, or academic settings where flexible schedules or project-based work are common. These positions often require strong analytical skills, proficiency with programming tools like Python or R, and may involve remote work options, but availability depends on the organization and specific project needs.

What cities are hiring for Part Time Data Science Astronomy jobs?

Cities with the most Part Time 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 Part Time Data Science Astronomy jobs?

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

Part Time Data Science Astronomy jobs near you

Data Intern

Acres.com Career

Fayetteville, NC • On-site

Part-time, Internship

Posted 13 days ago

Job description

About The Role

Acres is seeking a part-time Data Intern based in Northwest Arkansas to join our growing data science team. As a Data Entry Intern, you will work closely with our Data Team researching new data sources and entering geospatial data into Acres. The data science team at Acres is team-oriented, innovative, and passionate about creating the industry standard in geospatial tools for land analytics. Your work will directly impact the growth of Acres into the default land transaction platform. 

The ideal candidate will be available part-time (15-20 hours per week) through the fall semester of 2026.

Note: relocation is not supported for this role. We are only considering candidates who are currently located in Northwest Arkansas.

Core Responsibilities

  • Map property boundaries and attributes within Acres 
  • Verify accuracy of data and uphold data integrity
  • Support research efforts on the data team
  • Assist Data Science team in data entry tasks and planning

Key Competencies

  • High school diploma or equivalent
  • Quick learner with high attention to detail 
  • Entrepreneurial mindset and ability to thrive in a startup environment
  • Curiosity and eagerness for exploring and understanding agricultural land transactions 
  • Critical thinking, creative problem solving, and the ability to manage ambiguity
  • Effective communication, teamwork, and collaboration skills

Preferred Qualifications

  • Work experience in fast-paced, agile environments 
  • Currently enrolled in associate’s, bachelor’s, or master’s program 

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