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Graph Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do graph data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for graph data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Graph Data Scientist vs Data Scientist?

AspectGraph Data ScientistData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; knowledge of graph databasesBachelor's/Master's in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentFocus on graph databases, network analysis, and complex data structuresBroader data analysis, machine learning, and statistical modeling
Industry UsageTech, finance, social networks, cybersecurityHealthcare, marketing, finance, tech

The Graph Data Scientist specializes in analyzing data within graph structures and networks, often requiring knowledge of graph databases and network analysis. In contrast, the Data Scientist has a broader focus on various data types and analytical techniques. Both roles share foundational skills but differ in their specific applications and tools used.

What cities are hiring for Graph Data Scientist jobs?

Cities with the most Graph Data Scientist job openings:

What are popular job titles related to Graph Data Scientist jobs?

For Graph Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Graph Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Graph Data Scientist

Charlotte, NC • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Full-time

Re-posted 21 days ago

Job description

Job Title: Graph Data Scientist
Location: Charlotte, NC (Day 1 Onsite)
Job Type: Contract
Experience: Mid-Senior level
Job Overview
Our client is looking for a highly skilled Graph Data Scientist to design and develop graph-based analytical solutions leveraging Neo4j/TigerGraph and advanced data science techniques. The role will focus on building knowledge graphs, detecting complex patterns, and enabling AI-driven insights across enterprise use cases.
Key Responsibilities
  • Design and develop graph data models using Neo4j or TigerGraph
  • Build and manage knowledge graphs for enterprise use cases including fraud detection, relationship mapping, and pattern discovery
  • Apply data science and ML techniques to extract actionable insights from graph data
  • Develop and optimize graph algorithms (pathfinding, centrality, clustering, anomaly detection)
  • Integrate graph platforms with Gen AI / LLM-based systems for intelligent decision-making
  • Collaborate with engineering and AI teams to embed graph insights into production applications
Required Skills
  • Strong hands-on experience with Neo4j, TigerGraph, or similar graph databases
  • Solid background in data science: Python, Pandas, Scikit-learn, PyTorch / TensorFlow
  • Experience in graph algorithms and network analysis
  • Hands-on with data modeling, ETL, and large-scale data processing
  • Understanding of Gen AI / LLM integration with structured data systems
Preferred Skills
  • Experience with knowledge graphs and semantic data models
  • Exposure to hybrid architectures combining graph databases with AI systems
Location & Work Model
Charlotte, NC - Onsite from Day 1. Candidates must be willing and able to work on-site immediately.
Engagement Details
Contract engagement. Two openings available. Immediate start preferred.

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