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Network Science Jobs (NOW HIRING)

The AT&T Foundry is a team of computer scientists, network engineers, and related fields who are building the next generation of communication networks. To do this, we work on a variety of projects ...

Summary Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data ...

Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks)

Computer Scientist - Senior

Reston, VA · On-site

$170K - $190K/yr

Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression ...

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Network Science information

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$31

$48

$62

How much do network science jobs pay per hour?

As of Sep 12, 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 is a network science?

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.

What does a network science do?

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 are the key skills and qualifications needed to thrive in network science?

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.

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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 September 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.

AT&T Foundry Technical Role

Palo Alto, CA • On-site

Full-time

Re-posted 6 hours ago


AT&T rating

7.4

Company rating: 7.4 out of 10

Based on 736 frontline employees who took The Breakroom Quiz


Job description

The AT&T Foundry is a team of computer scientists, network engineers, and related fields who are building the next generation of communication networks. To do this, we work on a variety of projects involving cutting edge techniques from AI, network science, and many related fields. Our projects involve approaches such as (but not limited to): reinforcement learning, machine learning, decision theory, and natural language processing.
We are looking for people with experience applying cutting edge research in AI and ML to solve problems. You will work on a small team, interacting with business units across AT&T.
Responsibilities:
¥ Stay up to date on advancements in the field including the latest techniques and results from academia and industry, and effectively disseminate these learnings to other team members.
¥ Engage with teams across AT&T technology and operations organizations to understand their current challenges and incubate and develop new project opportunities.
¥ Work within Foundry team to develop new solutions.
¥ Develop and maintain production quality software.
¥ Developing and implement computational statistics and machine learning algorithms for analyzing system performance and optimization.
¥ Communicating project results clearly to both technical and non-technical audiences.
¥ Lead Foundry projects that implement innovative technical solutions to problems of compelling business value.
Minimum qualifications:
¥ BA / BS in computer science or related technical field.
¥ A strong background in probability and statistics
¥ Software development experience using one or more of Python, C/C++
Preferred qualifications:
¥ MS or PhD specializing in computer science, physics, or related technical field.
¥ Strong background in ML or AI

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