Graph Data Scientist - Cypher & Python Pipelines

Stanley Reid & Company; Columbia (MD); On-site; USD 110,000 - 165,000; Full time

Job summary

Stanley Reid & Company is seeking a Data Scientist for Graph Platforms in Columbia, MD. You will design, model, and optimize graph structures and craft efficient queries to power a graph analysis platform.

You will develop Python data parsers for ingestion pipelines and document data models to support scalable graph solutions. Collaboration with mission analysts and operators is essential to translate needs into innovative graphing approaches.

Qualifications

• 8+ years of experience with a technical degree (12+ years without degree).
• Experience with graph databases (Neo4j) and Cypher or willingness to learn.
• Strong Python programming for data parsing scripts.
• Ability to translate complex requirements into data-driven graph solutions.
• Excellent communication and collaboration with diverse stakeholders.
• Strong analytical thinking and problem-solving abilities.

Responsibilities

• Design, model, and optimize complex graph structures to support a graph analysis platform.
• Craft performant database queries and optimize graph data access patterns.
• Develop and maintain data parsers in Python to support ingestion pipelines.
• Maintain documentation of data models and graph schemas for reuse and clarity.
• Collaborate with mission analysts and operators to translate needs into novel data models and graphing solutions.

Skills

Python programming

Graph analytics

Data modeling

Collaboration

Education

Technical degree

Tools

Neo4j

Job description

Stanley Reid & Company is seeking a Data Scientist for Graph Platforms in Columbia, MD. You will design, model, and optimize graph structures and craft efficient queries to power a graph analysis platform.

You will develop Python data parsers for ingestion pipelines and document data models to support scalable graph solutions. Collaboration with mission analysts and operators is essential to translate needs into innovative graphing approaches.