Sr. Data Scientist - Neo4j Graph Data Science

Key Responsibilities

Architect, develop, and optimize data models using Neo4j or other graph databases.

Apply graph-based data science algorithms, including centrality, community detection, and link prediction, using Neo4j GDS.

Design and implement advanced search and traversal algorithms for complex data structures.

Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value.

Use your mathematical expertise to solve algorithmic and analytical challenges.

Collaborate with cross-functional teams to integrate graph-based intelligence into scalable software systems.

Stay updated with the latest advancements in graph data science, AI, and related technologies.

A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements.

Exceptional analytical and problem-solving skills with a keen attention to detail.

Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

4+ years in data science or architecture roles.

Strong hands-on with Neo4j and Cypher.

Solid background in mathematics and graph theory.

Experience with search algorithms and data science workflows.

Proficient in Python and relevant ML libraries.

Nice to Have

Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Exposure to distributed computing frameworks (e.g., Spark, Hadoop).

Knowledge of knowledge graphs and semantic modeling.

Prior experience in architect-level roles in data-driven product teams.

Understanding of electrical components.