Description

You will lead the development and implementation of graph data science solutions and identity resolution architectures.

Responsibilities

• Architect and design scalable graph database solutions for complex identity resolution and data relationship queries.
• Develop graph data models and roadmaps to support large-scale client transformation agendas.
• Optimize graph database performance through query optimization, indexing, partitioning, and schema design.
• Integrate graph databases with existing data systems to ensure seamless data flow and consistency.
• Provide technical leadership and mentorship to graph database engineers and developers.

Required Skills

• 7+ years of Data Science experience in model development, design, and product deployment.
• 1+ year of experience in graph database model development and graph analytics (identity resolution, social networks, or knowledge graphs).
• Hands-on experience with graph database platforms such as Neo4j, Tiger Graph, or AWS Neptune.
• Proficiency in Python, PySpark, or Scala.
• Experience with AI frameworks including NumPy, Pandas, and Scikit-learn.
• Working knowledge of graph languages such as Cypher or Gremlin.
• Expertise in developing property or RDF graph data models and relational data models.
• Experience building data science models in cloud environments such as AWS, GCP, or Azure.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate