Job Title: Senior Data Graph Scientist
Location: Hyderabad / Mumbai (Work from Office)
Open Positions: 4
Experience: 6 years with largescale graph data
CTC: Best Rate (based on experience)
Immediate Onboarding
Job Description:
We are seeking a Senior Data Graph Scientist with extensive experience in working with largescale data graphs handling more than 100 crore nodes and 5000 crore relationships. The ideal candidate will have strong expertise in graph theory nodes and edges and experience managing massive datasets to derive meaningful insights and optimize data structures.
Key Responsibilities:
- Work on largescale data graph projects handling 100 crore nodes and 5000 crore relationships.
- Develop and implement graph algorithms (such as Dijkstra and PageRank) to analyze and optimize relationships between data points.
- Collaborate with data teams to design optimize and manage graph data structures and pipelines.
- Ensure scalability and efficiency of machine learning models for large graph datasets.
- Create and maintain graph databases like Neo4j to store analyze and visualize massive data.
Primary Skills:
- Expertise in working with nodes and edges in largescale data graphs.
- Handson experience with Neo4j or other graph databases.
- Experience with graphbased algorithms like Dijkstra for optimizing large datasets.
- Strong background in graph theory and graph data management.
Secondary Skills:
- Proficiency in Python and relevant libraries (e.g. NetworkX Neo4j GDS).
- Familiarity with big data tools for handling and processing large datasets.
- Strong understanding of data structures and machine learning algorithms related to graph data.
- Experience with cloud platforms (Azure AWS) for deploying and managing graphbased solutions.
Requirements:
- Proven experience in handling massive data sets involving crores of nodes and relationships.
- Demonstrated ability to apply graph algorithms to solve business problems.
- Excellent problemsolving skills particularly in handling large complex datasets.
- Immediate availability for onboarding.
cloud platforms,python,node package manager,graph algorithms,edge,big data tools,machine learning,networkx,machine learning algorithms,data management,neo4j,graph theory