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Network Science Jobs (NOW HIRING)

The first is designing and implementing significant machine learning, deep learning, text mining, Large Language Model (LLM), foundation model, and/or network science-based approaches to extract ...

The first is designing and implementing significant machine learning, deep learning, text mining, Large Language Model (LLM), foundation model, and/or network science-based approaches to extract ...

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Network Science information

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$48

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How much do network science jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for network science in the United States is $48.73, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $62.50 per hour, depending on experience, location, and employer.

What jobs can you do with a networking degree?

A networking degree prepares individuals for roles such as network administrator, network engineer, cybersecurity analyst, and systems analyst. These jobs involve managing, designing, and securing computer networks, often requiring knowledge of network protocols, security tools, and certifications like Cisco or CompTIA. The field typically offers opportunities in IT departments, technology firms, and consulting companies.

What are the typical daily tasks of someone working in Network Science?

Professionals in Network Science often spend their days collecting, cleaning, and analyzing large datasets to uncover structures and patterns within complex networks, such as social, biological, or technological systems. They may design models, conduct simulations, visualize networks, and interpret results to inform strategic decisions or support research initiatives. Collaboration with colleagues across various domains, including data scientists, engineers, and subject matter experts, is common to address multidisciplinary challenges. Additionally, network scientists often present findings to stakeholders, prepare reports, and stay current with the latest research and tools in the field.

What does a network scientist do?

A network scientist analyzes complex systems by studying the relationships and interactions within networks such as social, biological, or technological systems. They use tools like graph theory, data analysis, and modeling to understand patterns, optimize performance, and solve problems related to connectivity and information flow.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director tend to have the highest salaries, often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, programming, and experience with tools like Python, R, and cloud platforms.

What is a degree in network science?

A degree in network science is a measure of a node's connections within a network, indicating how many links it has to other nodes. In the context of network science jobs, understanding degrees helps analyze network structure and identify influential nodes, often using tools like graph theory and network analysis software. This concept is fundamental for roles involving data analysis, modeling, and visualization of complex networks.

What are the key skills and qualifications needed to thrive in the Network Science position, and why are they important?

To thrive in Network Science, you need a strong background in mathematics, statistics, computational modeling, and data analysis, usually supported by a relevant degree such as computer science, physics, or engineering. Familiarity with analytical tools like Python, R, Gephi, and network analysis frameworks, as well as experience handling large datasets, is typically required. Excellent problem-solving skills, critical thinking, and effective communication are important soft skills for collaborating on interdisciplinary teams and presenting complex findings. These competencies are crucial for uncovering meaningful patterns, sharing insights, and driving impactful decisions within organizations focused on complex systems.

What is a Network Science job?

A Network Science job involves analyzing complex networks—such as social, technological, or biological systems—to uncover patterns, relationships, and behaviors. Professionals in this field use graph theory, data science, and machine learning to model and interpret network structures. Common applications include cybersecurity, epidemiology, financial risk analysis, and social influence mapping. Careers in Network Science often require skills in programming, statistical analysis, and visualization tools.

More about Network Science jobs
What cities are hiring for Network Science jobs? Cities with the most Network Science job openings:
What are the most commonly searched types of Network Science jobs? The most popular types of Network Science jobs are:
What states have the most Network Science jobs? States with the most job openings for Network Science jobs include:
Infographic showing various Network Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,366 per year, or $48.7 per hour.

Tenure-Track: Network Science & Communication

Northeastern University

Boston, MA

$97K - $122K/yr

Full-time

Posted 6 days ago


Job description

A prestigious global research university in Boston seeks an Assistant Professor in Network Science to engage in impactful research and teaching. The role emphasizes social networks in communication and media, offering mentorship and collaboration opportunities across disciplines. Applicants should have a PhD in Communication Studies or a related field and a strong potential for securing research funding.

The position includes a comprehensive benefits package and a competitive salary range of $97,000 to $122,000. #J-18808-Ljbffr