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.

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