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Weekend Data Science Jobs in West Virginia (NOW HIRING)

WV ยท On-site

$77K - $97K/yr

Bachelor's Degree in a relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases ...

Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Data Warehousing (DW), Enterprise Data, Relational Data Modeling Certifications: None Experience: 10 + years of related ...

$94K - $113K/yr

This role is ideal for a recent Computer Science graduate eager to apply modern data tooling (AWS, PySpark, Python) toward solving meaningful sustainability challenges. Key Responsibilities

Lead Data Engineer

WV ยท On-site +1

$103K - $123K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Lake, Data Warehousing (DW) Certifications: None Experience: 7 + years of related experience US ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ... Evening or weekend availability may be required. NWACC is an Equal Opportunity Employer, please see ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ... Evening or weekend availability may be required. NWACC is an Equal Opportunity Employer, please see ...

Sr. Healthcare Data Analyst (Medicaid)

WV ยท On-site +1

$106K - $143K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Statistical Analysis Certifications: None Experience: 5 + years of related experience US Citizenship Required:

Showing results 21-40

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in West Virginia?

The most popular types of Data Science jobs in West Virginia are:

What are popular job titles related to Weekend Data Science jobs in West Virginia?

For Weekend Data Science jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in West Virginia look for?

The top searched job categories for Weekend Data Science jobs in West Virginia are:

What cities in West Virginia are hiring for Weekend Data Science jobs?

Cities in West Virginia with the most Weekend Data Science job openings:

Scientific Data Analyst I or II

National Radio Astronomy Observatory

Green Bank, WV โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description


National Radio Astronomy Observatory
Title: Scientific Data Analyst I or II
Location: NRAO, PO Box 2, GREEN BANK, West Virginia, United States of America
Requisition Number: 256
Job Family: Scientific Data Analyst
Pay Type: Salary
Required Education: EXT

Position Description:

Position Summary

The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe.

At NRAO, we are recruiting a Scientific Data Analyst (DA). The successful candidate may start at the DA I or DA II level, depending on qualifications.

The position is located in Green Bank, West Virginia, a beautiful and remote site bordering the Monongahela and George Washington National forests. Located 4 hours from Washington, DC, the Green Bank Observatory offers an academic atmosphere in a rural setting that features a wide variety of activities, from skiing, mountain and road biking, hiking, fishing, and whitewater rafting, all within a tight-knit community.

The primary responsibility of the Scientific Data Analyst will be to provide support to observatory systems and observers through a variety of duties, including (but not limited to): providing on-call support for the GBT and possibly other site telescopes, training users to conduct GBT observations, performing technical reviews of GBT observing proposals, aiding in GBT observing documentation, and support for a variety of GBT instruments, observing modes, and observing scripts. In addition, the successful applicant will be acting as project ‘friend’ for numerous outside proposals to use the GBT, a job which involves interacting with outside scientists and astronomers to answer questions about the GBT, assist with observing script preparation and post-observation data analysis, and occasionally actively observing for the project’s principal investigator. Scientific Data Analysts may also have the opportunity to contribute and lead research and development projects.

The successful applicant should have a basic understanding of astronomy. Advanced knowledge of astronomy, especially radio and/or millimeter astronomy, and experience with radio telescope observations is desired but not required. Training will be provided for all job duties.

What You Will be Doing:

  • Responds to observer questions regarding GBT observing and data reduction

  • Maintains a working knowledge of issues, observing, and data reduction techniques for the GBT

  • Assists scientific staff with training, software testing, and procedures for user support and/or telescope operations.

  • Aids in observer facing and internal documentation efforts

  • Provide back-up for all (GBT) VLBI script creation and projects

  • Technical reviews for 20-40 GBT proposals annually

  • On-call support for GBT observers

  • Support staff or ‘friend’ for outside proposals to use the GBT: answer questions about the GBT, assist with observing script preparation and post-observation data analysis, and occasionally actively observing for the project’s principal investigator.

  • Pro-active compliance with Green Bank Observatory and government safety policies and procedures in own work area is expected.

  • Other duties as assigned.

  • Support staff or ‘friend’ for outside proposals to use the GBT: answer questions about the GBT, assist with observing script preparation and post-observation data analysis, and occasionally actively observing for the project’s principal investigator.

  • Pro-active compliance with Green Bank Observatory and government safety policies and procedures in own work area is expected.

Work Environment

Work is typically performed in an office environment. Will be required to sit for long periods of time and operate a personal computer. Regular on-call and scheduled weekend and night work required.

Who You Are:

Education

  • You have a bachelor’s degree in Astronomy, Physics or related field.

  • You have one to five years of relevant experience, encompassing the following technical expertise. An advanced astronomy degree may be substituted for years of experience:

  • Ability to use computers with M/S Windows, MacOS, and Linux operating systems

Experience

  • Python software creation or development in another programming language.

  • Familiarity with VLBI techniques is preferred.

Skills and Competencies

  • High level of competency in Microsoft software products and web-based systems, Visio and SharePoint.

  • Attention to detail is critical

  • Highly organized

  • Excellent communication skills

Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position.

Total Rewards:

Compensation:

The starting hourly rate for a position of DA I is between $27.44 - $32.33 per hour. The starting annual salary for a position of DA II is between $66,979 - $81,080. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions.

Benefits:

Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides:

  • Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days)

  • Medical, dental and vision plans are effective on the first day of employment.

  • AUI’s retirement benefit contributes an amount equal to 10 percent of a qualified participant’s base pay with no required employee contribution.

  • Click Total Rewards for more information.

Application Instructions:

Select the “Apply” button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position.

Equal Opportunity Employer Statement:

AUI is an equal opportunity employer. To view our complete statement, please visit https://public.nrao.edu/careers/. If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to resumes@nrao.edu. PM20



Compensation details: 66979-81080 Yearly Salary


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