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Complex Networks Jobs (NOW HIRING)

Forward Networks

Data Scientist

Santa Clara, CA · On-site

$170K - $190K/yr

Forward Networks is transforming how the world's most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry's first network digital twin - a ...

NextRow Digital

Network Engineer

Chicago, IL · On-site

... complex networks (including hybrid cloud). • 3+ years' experience with design and implantation on complex networks, including firewalls (Cisco, Fortinet, etc). • Able to work within a team or on ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Forward Networks is transforming how the world's most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry's first network digital twin - a ...

Sphinx Solutions, Inc.

Network Engineer

Herndon, VA · On-site

Adept in network engineering, with focus on design, implementation, and management of complex networks. * Experience with network architecture, design, and implementation in a large-scale environment.

Forward Networks

Infrastructure Engineer

Santa Clara, CA · On-site

$175K - $210K/yr

Forward Networks is transforming how the world's most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry's first network digital twin - a ...

Sphinx Solutions, Inc.

Network Architect

Herndon, VA · On-site

$66.50 - $89.25/hr

... MPLS networks • Ability to learn, understand and implement new technologies • Independent learner with a proven ability to master complex technical concepts through self-study and practice ...

Arcfield

Engineering Technical Analyst

Mclean, VA · On-site

Demonstrated experience with the security aspects of enterprise-level complex networks. * Demonstrated experience performing risk analysis and risk management. * Demonstrated experience with system ...

CFS

Systems Administrator

Lancaster, OH

$80K - $95K/yr

Plans, designs, and implements complex networks. Provides technical support for network activities. Responsible for analysis, implementation, and support of hardware, software, and systems. Programs ...

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How much do complex networks jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for complex networks in the United States is $39.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $53.12 per hour, depending on experience, location, and employer.

What are complex networks?

Complex networks are interconnected systems characterized by non-trivial topological features, such as irregular patterns of connections and dynamic interactions among their elements. Examples include social networks, biological networks, transportation networks, and the internet. Researchers study complex networks to understand how their structure affects function, robustness, and the spread of information or diseases. This field combines tools from mathematics, physics, computer science, and engineering to model, analyze, and predict the behavior of real-world networks.

How do professionals working in Complex Networks typically collaborate with interdisciplinary teams, and what skills support effective teamwork?

Professionals in Complex Networks often work alongside experts in fields such as data science, mathematics, computer science, and engineering to analyze and interpret interconnected systems. Effective collaboration relies on strong communication skills, an ability to translate complex concepts for non-specialists, and a willingness to integrate diverse perspectives. Regular meetings, collaborative research projects, and shared data analysis platforms are common, fostering cross-disciplinary innovation and problem-solving. Being adaptable and open to learning from other domains is essential for success in these environments.

What are the key skills and qualifications needed to thrive as a Complex Networks Analyst, and why are they important?

To thrive as a Complex Networks Analyst, you need a strong background in mathematics, statistics, and network theory, often supported by a degree in computer science, physics, or engineering. Familiarity with analytical tools like Python, R, Gephi, and relevant data visualization or simulation software is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and presenting findings to diverse stakeholders. These competencies enable professionals to analyze intricate systems, identify patterns, and drive data-informed decisions across various industries.

What is the difference between Complex Networks vs Data Scientist?

AspectComplex NetworksData Scientist
Required CredentialsDegree in Computer Science, Mathematics, or related fields; knowledge of network theoryDegree in Computer Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentResearch labs, academia, tech companies focusing on network analysisBusiness, tech firms, finance, healthcare analyzing large datasets
Industry UsageNetwork analysis, social network research, infrastructure modelingPredictive modeling, data analysis, machine learning applications

Complex Networks specialists focus on analyzing and modeling interconnected systems like social, biological, or technological networks. Data Scientists work with large datasets to extract insights, build models, and support decision-making. While both roles require strong analytical skills and programming knowledge, their primary focus and industry applications differ, with Complex Networks centered on network structures and Data Scientists on data-driven insights.

More about Complex Networks jobs
What cities are hiring for Complex Networks jobs? Cities with the most Complex Networks job openings:
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Complex Networks jobs near you
Infographic showing various Complex Networks job openings in the United States as of May 2026, with employment types broken down into 39% Full Time, 52% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,152 per year, or $39.5 per hour.
Data Scientist

Data Scientist

Forward Networks

Santa Clara, CA • On-site

$170K - $190K/yr

Full-time

Posted 23 days ago

Job description

Forward Networks is transforming how the world's most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry's first network digital twin - a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.
Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.
Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.
Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to productionizing key data systems. This is a high-impact, high-agency, "help steer the ship" role which reports directly to the CTO. Modern AI-assisted development tools make this role possible, where the data scientist can now do real engineering, too.
What You'll Do
  • Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action-oriented data solutions
  • Design, build, and maintain data pipelines for reliable ingestion and transformation
  • Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil
  • Drive rigor and best practices, with a focus on data quality, consistency, and transparency
  • Develop and deploy statistical models and machine learning, where appropriate
  • Build clear, decision-oriented visualizations and dashboards for stakeholders across multiple departments
  • Own selected production data systems: selection, orchestration, monitoring, and tuning
  • Communicate and shepherd key data results and analysis to executives

What We're Looking for
  • Experience with B2B SaaS-relevant data, including Salesforce and financial metrics
  • Strong communication skills and ability to work effectively across multiple departments and stakeholder groups
  • Ownership mindset and ability to deliver end-to-end outcomes independently; must be a "startup type"
  • Demonstrated ability to design data pipelines and work with imperfect, evolving data sources
  • Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies
  • Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)
  • Experience with data visualization tools (e.g., Tableau, Looker, or similar)
  • Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)
  • Knowledge of core machine learning concepts and when to apply them pragmatically

Example Initial Projects
  • Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history
  • Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams
  • Define, validate, and implement key SaaS product-usage metrics

As we grow, you will, too, with the broad scope of a software startup.
Location: Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate.
Salary Range: The base pay range for this role is between $170,000 and $190,000. Base pay will depend on your skills, qualifications, experience, and location

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