Company
Quantizant is a market trends analysis automation for technological companies.
We are building a next generation LLM-powered analytical platform analyzing startup and technology business news to automatically recommend best strategic directions client companies can take in their innovation efforts.
We focus on both innovation and competitive dynamics and use the recently revolutionary LLM capabilities to abstract trends and tendencies while supporting them with data on popularity, traction and investment.
Knowledge Graph Engineer Position
We are seeking an exceptionally talented Knowledge Graph Engineer with a passion for data relationships and a knack for structured knowledge representation. The successful candidate will be instrumental in constructing and optimizing the knowledge graph that powers our analytical platform, ensuring data integrity and accessibility.
Responsibilities:
- Designing, developing, and maintaining knowledge graphs that effectively represent complex data relationships.
- Collaborating closely with data scientists, backend developers, and domain experts to ensure data quality and consistency.
- Keeping abreast of the latest advancements in knowledge graph technologies and industry trends, and integrating them into ongoing operations.
- Developing strategies for data integration, transformation, and normalization to enhance the knowledge graph’s utility.
- Implementing measures to ensure data accuracy, privacy, and security within the knowledge graph.
- Evaluating and optimizing the performance of the knowledge graph, and scaling solutions as needed.
- Engaging in active knowledge transfer and collaboration with other team members and stakeholders to achieve project goals.
- Creating and maintaining documentation for knowledge graph architecture, data models, and processes.
Requirements:
- Master's degree in Computer Science, Information Science, or a related field.
- At least 3 years of experience working with knowledge graphs, semantic web technologies, or data modeling.
- Proficient understanding of graph databases such as Neo4j, Amazon Neptune, or others.
- Exceptional analytical and problem-solving skills.