Full Time Azure Graph Data Scientist -Remote Job at Arkhya Tech Inc, Remote

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  • Arkhya Tech Inc
  • Remote

Job Description

Role: Azure Graph Data Scientist

Location: Remote

Job Type: Full Time

Job Description:
We are seeking an experienced Azure Graph Data Scientist to design, analyze, and interpret complex graph-based datasets, delivering actionable insights that drive strategic business decisions. The ideal candidate will have a deep understanding of graph databases, advanced analytics, and Azure cloud services, with expertise in leveraging graph algorithms for predictive modeling and knowledge discovery.

Responsibilities:

  • Apply graph theory and analytics to extract insights from large-scale property graphs or semantic triple stores (RDF).
  • Design and implement graph-based machine learning models for link prediction, community detection, recommendation systems, and anomaly detection.
  • Develop and optimize Gremlin, Cypher, or SPARQL queries to support advanced analytics and data exploration.
  • Collaborate with engineering teams to integrate Azure Cosmos DB (Gremlin API) or other graph database technologies into analytical workflows.
  • Utilize Azure Data Factory, Azure Blob Storage, Azure Functions, and Key Vault to manage data pipelines and secure analytical environments.
  • Implement and evaluate graph algorithms such as PageRank, centrality measures, clustering, and shortest path to uncover relationships and patterns.
  • Build dashboards, reports, and visualizations to communicate findings effectively to stakeholders.
  • Work with cross-functional teams to translate business problems into graph-based data science solutions.

Required Qualifications:

  • 6+ years of experience with graph database technologies (Azure Cosmos DB Gremlin, Neo4j, TigerGraph, Amazon Neptune).
  • Proficiency in Gremlin, Cypher, or SPARQL query languages.
  • Strong background in graph data modeling and semantic web technologies .
  • Hands-on experience with graph algorithms and their application to real-world business problems.
  • Proficient in Python, Java, or .NET with relevant data science libraries (NetworkX, GraphFrames, PyTorch Geometric, etc.).
  • Experience with Azure Cloud Services for data management and analytics.
  • Solid foundation in machine learning, statistical analysis, and predictive modeling .
  • Excellent problem-solving skills and ability to work in cross-functional, Agile environments.

Preferred Qualifications:

  • Experience building graph-based recommendation systems or fraud detection solutions.
  • Familiarity with natural language processing (NLP) for entity and relationship extraction.
Knowledge of visualization tools such as Gephi, Neo4j Bloom, or Power BI for graph analytics.

Job Tags

Full time, Remote work,

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