Graph Data Scientist: Neo4j & Python, Onsite MD

stanleyreid

Maryland

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Stanley Reid is seeking a Data Scientist specializing in Graph Analysis to join a mission-focused team in Columbia, MD. You will enhance graph capabilities, model complex structures, and optimize queries, with Python parsers for ingestion pipelines, and collaborate with mission analysts.

You have a technical degree with 8+ years (12+ without degree), experience with graph databases like Neo4j and Cypher, strong Python skills, and excellent communication to translate user needs into data-driven

Qualifications

  • Technical degree + 8 years of experience (12 years without degree).
  • Experience with graph databases such as Neo4j and Cypher.
  • Strong Python programming skills for data parsing scripts.
  • Ability to translate complex customer requirements into data-driven solutions.
  • Excellent communication and interpersonal skills for collaboration with stakeholders.
  • Strong analytical thinking and problem-solving abilities.

Responsibilities

  • Design, model, and optimize complex graph structures.
  • Contribute to a groundbreaking graph analysis platform.
  • Develop and maintain Python parsers for ingestion pipelines.
  • Document data models comprehensively.
  • Collaborate with mission analysts and operators to translate needs into data models and graphing solutions.

Skills

Graph databases
Python programming
Translate requirements into data-sol
Communication
Analytical thinking

Education

Technical degree + 8 years

Tools

Docker
Kubernetes

Job description

Stanley Reid is seeking a Data Scientist specializing in Graph Analysis to join a mission-focused team in Columbia, MD. You will enhance graph capabilities, model complex structures, and optimize queries, with Python parsers for ingestion pipelines, and collaborate with mission analysts.

You have a technical degree with 8+ years (12+ without degree), experience with graph databases like Neo4j and Cypher, strong Python skills, and excellent communication to translate user needs into data-driven

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