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Full Time Graph Theory Jobs (NOW HIRING)

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

... graph theory, combinatorics), game theory, machine learning, optimization, privacy, and security ... Position Status Full Time Posting Number 25FA1030 Posting Open Date 10/22/2025 Posting Close Date ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

San Jose, CA or Austin, TX. Full-time onsite position. Key Responsibilities: * Design and implement ... Strong background in graph theory and graph transformations in a compiler or optimization context;

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship ... Real world enterprise use cases of graph theory * Gain direct exposure to Fortune 500 clients

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship ... Real world enterprise use cases of graph theory * Gain direct exposure to Fortune 500 clients

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How much do full time graph theory jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for full time graph theory in the United States is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $17.55 per hour, depending on experience, location, and employer.

What is a full time graph theory job?

Full time graph theory jobs are professional positions that focus on the study and application of graph theory, a branch of mathematics concerned with the properties of graphs—structures made up of nodes (vertices) and connections (edges). These roles often involve research, algorithm development, data analysis, or software engineering, and are commonly found in technology companies, research institutions, and academia. Professionals in this field use graph theory to solve problems in areas like network analysis, computer science, bioinformatics, logistics, and social network analysis.

What are the typical collaborative projects or teams a full time graph theory specialist works with in an organization?

A Full Time Graph Theory specialist often collaborates with interdisciplinary teams, such as data scientists, software engineers, and network analysts, to solve complex problems related to network structures, optimization, and data relationships. These professionals may contribute to projects involving social network analysis, logistics optimization, or cybersecurity. Regular communication and joint problem-solving with product managers and stakeholders are common, ensuring that graph-based solutions align with business needs and technical requirements. This collaborative environment helps specialists broaden their skill set and gain exposure to different industry applications.

What are the key skills and qualifications needed to thrive as a graph theorist, and why are they important?

To thrive as a Graph Theorist, you need a strong background in mathematics, particularly in discrete mathematics and combinatorics, usually supported by an advanced degree in mathematics, computer science, or a related field. Proficiency in mathematical proof techniques, algorithm design, and familiarity with software tools such as SageMath, MATLAB, or Python-based graph libraries is typically required. Analytical thinking, creativity, and effective communication are valuable soft skills that help with problem-solving and collaborating on research or applied projects. These skills and qualities are crucial for developing new theories, solving complex problems, and effectively sharing insights in academic or industry settings.

What is the difference between Full Time Graph Theory vs Full Time Network Analyst?

AspectFull Time Graph TheoryFull Time Network Analyst
Required CredentialsMathematics degree, advanced knowledge of graph algorithmsComputer science or IT degree, network certifications
Work EnvironmentResearch labs, academia, tech companiesCorporate offices, data centers, IT departments
Industry UsageAcademic research, theoretical computer scienceNetwork infrastructure, cybersecurity, data management

Full Time Graph Theory focuses on theoretical research and mathematical modeling of graphs, often in academic or research settings. In contrast, a Full Time Network Analyst applies practical network and infrastructure skills in corporate environments. While both roles involve understanding networks, Graph Theory emphasizes mathematical concepts, whereas Network Analysts focus on real-world network implementation and troubleshooting.

What careers use full time graph theory?

Full-time graph theory is used in careers such as network analysis, computer science, data science, operations research, and algorithm development. Professionals in these fields apply graph algorithms to optimize networks, solve complex problems, and develop software tools, often requiring strong mathematical and programming skills.
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Full Time Graph Theory jobs near you
Infographic showing various Full Time Graph Theory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $35,000 per year, or $16.8 per hour.

Graph Data Scientist

Amida Technology Solutions

Washington, DC • On-site

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.
Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.
Amida is seeking a Graph Data Scientist. The successful candidate will work across our client engagements and internal research projects, helping the company develop graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems. This role will report to the Director of Solutions. The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights. The candidate must be able to work a hybrid schedule in our DC office.
What you will do:
  • Serve as the company's expert in all aspects of graph data modeling, including schema development and tradeoff data connectivity with retrieval/query performance
  • Design, implement, and optimize graph algorithms and data structures for applications in decision support, classification
  • Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction
  • Build distributed training pipelines that can handle large graphs (100 M+ graph elements)
  • Design and write queries and stored procedures for data loading, migration from existing databases, and retrieval
  • Interface with customers and internal resources to ensure alignment of expectations and objective progress towards the application of graphs in advanced analytical systems
  • Author white papers, technical documentation, and patents and present at conferences
  • Mentor and train data scientists on graph theory, graph analytics, and graph-based solution architectures
  • Other duties as assigned

Required Education:
  • Master's degree in computer science, mathematics, or engineering with a strong focus on graph theory, algorithms, and data structures

Required Experience:
  • 5+ years of recent professional experience in graph Machine Learning
  • 3+ years of recent professional experience in the development and implementation of graph algorithms and data structures, including heterogeneous graphs for new applications
  • 3+ years leading research initiatives

Required Skills:
  • Proficient with data modeling, schema design, database optimization, performance monitoring
  • Proficient in software development using 4GLs
  • Familiarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS)
  • Proficient in at least one Apache Spark-based cloud service (e.g., Azure Databricks)
  • Commitment to and engagement in building strong and trustful relationships with teammates, business partners, and customers
  • Intellectually curious and passionate about exploring new frontiers in graph theory with an emphasis on real-world applications
  • Desire and ability to stay current with both academic and industry literature
  • Must be a U.S. citizen or green card holder due to customer requirements

Preferred:
  • Experience with Neo4j, Cosmos DB, ArangoDB
  • Experience with cloud services and their database management system
  • Ph.D. in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures

Success at Amida
Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida.
Full-time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life/AD&D insurance, and short-term disability. We also offer tuition/training assistance and team-building opportunities to encourage professional growth and collaboration.
All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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