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Neo4J Data Scientist Jobs (NOW HIRING)

Data Scientist

Columbia, MD · On-site

$200 - $250/hr

Bytoa is seeking a Data Scientist specializing inin graph analysis and algorithms. You will join a ... While familiarity with Neo4j and its query language, Cypher, is beneficial, we welcome candidates ...

Data Scientist

Falls Church, VA · On-site

$150 - $200/hr

Graph databases and query languages (Neo4j, Cypher) * App frameworks for analytic UIs (Flask ... Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent ...

The Data Scientist will work as part of a research-focused team to advance national security ... Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning.

Senior Data Scientist Columbia, MD TS/SCI CI Poly $200K to $250K Required Qualifications: * U.S ... Hands-on experience with SQL, NoSQL, graph (Neo4j), and vector databases * Experience working in ...

(AI/ML Engineer / GenAI Engineer / Data Scientist) Houston TX Overview Capgemini is seeking an ... NLP * computer vision * graph database technology (Neo4J, Ontotext, etc.) * JIRA / Confluence

Cypher queries, Graph Data Science, Data ingestion, Query performance tuning (indexes, modeling, optimization techniques), Reviewing and recommending Neo4j infrastructure and configuration for ...

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Neo4j, Neptune) * Experience with Graph Analytics * Experience with Kubernetes * Experience with ...

AA2IT is seeking a Sr. Data Scientist to join their Digital Sciences team within the Analytical ... Neo4J or AWS Neptune) • Experience with statistical data analysis and tools (JMP, Minitab ...

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Neo4j, Neptune) * Experience with Graph Analytics * Experience with Kubernetes * Experience with ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

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Neo4J Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do neo4j data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for neo4j data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Neo4j data scientist?

A Neo4j Data Scientist is a professional who specializes in applying data science techniques to graph data using the Neo4j graph database platform. They leverage Neo4j's capabilities to model, analyze, and extract insights from complex, interconnected datasets, such as social networks, recommendation systems, or fraud detection scenarios. Their work involves designing graph data models, writing Cypher queries, and using Neo4j's analytical and machine learning tools to uncover patterns and relationships within the data.

What are the key skills and qualifications needed to thrive as a Neo4j data scientist?

To thrive as a Neo4J Data Scientist, you need a strong background in data science, graph theory, and experience with query languages like Cypher, typically supported by a relevant degree in computer science or a related field. Familiarity with Neo4J database management, Python, data visualization tools, and cloud platforms is essential, as well as certifications in graph databases or data analytics. Strong analytical thinking, problem-solving, and effective communication skills help you interpret complex relationships in data and present findings to stakeholders. These skills are crucial for delivering actionable insights from connected data and ensuring successful implementation of graph-driven solutions.

What are some common challenges faced by a Neo4j data scientist when working with large-scale graph data?

Neo4J Data Scientists often encounter challenges related to efficiently modeling and querying large-scale graph data. As datasets grow, optimizing graph schema, indexing, and Cypher queries becomes crucial to maintain performance. Handling complex relationships and ensuring data consistency across distributed environments are frequent hurdles. Collaborating closely with database administrators and software engineers is also essential to align data models with application requirements and to implement best practices for data ingestion and transformation.

What are popular job titles related to Neo4J Data Scientist jobs?

For Neo4J Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Neo4J Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Graph Data Scientist

Charlotte, NC • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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.