Senior Data Scientist Graph Neo4j

About Proxify

Proxify connects top developers globally with remote full-time opportunities. We believe talent has no borders and aim to fast-track independent careers. With 1200+ satisfied clients and 5000+ trusting developers, Proxify has built a strong reputation, reflected in our high Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings.

The Role: Senior Data Scientist Graph Neo4j

As a Senior Data Scientist Graph Neo4j for one of Proxify's clients, you will spearhead the design and implementation of graph-based models to tackle critical problems. Your work will span fraud detection, recommendation engines, and advanced GraphRAG architectures. Specializing in Neo4j, you will transform complex, interconnected data into a strategic asset for clients. This role is ideal for a growth-oriented individual passionate about innovation and developing exciting products and features.

What we are looking for:

• 3+ years of hands-on experience specifically with Neo4j and its GDS library.
• Expert proficiency in Python.
• Deep understanding of graph theory, network science, and linear algebra.
• Experience with ETL/ELT pipelines for moving data from relational databases or data lakes into Neo4j.
• Proven track record of deploying ML models into production environments (Docker, Kubernetes, or Cloud-native ML platforms).
• Beyond Cypher, a solid grasp of SQL is essential for data preparation.
• Ability to work within the CET (+/- 3 hours) time zone.

Responsibilities:

• Design and architect scalable graph schemas in Neo4j to represent complex real-world entities and their relationships.
• Utilize the Neo4j Graph Data Science (GDS) library to implement centrality, community detection, similarity, and pathfinding algorithms.
• Build and productionize machine learning models that leverage graph features (node embeddings, Graph Neural Networks) to improve accuracy over traditional ML approaches.
• Write and optimize complex Cypher queries to extract insights and power real-time applications.
• Collaborate with AI engineers to integrate Knowledge Graphs into LLM workflows, enhancing the factuality and context-awareness of generative AI solutions.
• Employ tools like Neo4j Bloom or Linkurious to translate complex graph insights into actionable stories for stakeholders.

What Proxify offers:

• Guaranteed on-time payments: Enjoy reliable monthly payments with flexible withdrawal options, eliminating client payment uncertainties.
• Predictable project hours: Maintain a healthy work-life balance with consistent 8-hour working days.
• Flex days for recharge: Benefit from up to 24 paid flex days off annually for full-time positions.
• Career-accelerating opportunities: Access exclusive long-term remote positions with innovative companies.
• Hand-picked and seamless process: Receive personally matched opportunities, bypassing typical recruitment hurdles and offering a one-time contracting process for multiple prospects.

Key skills/competency

• Neo4j
• Graph Data Science (GDS)
• Python
• Graph Theory
• Machine Learning (ML)
• ETL/ELT
• Cypher
• SQL
• Knowledge Graphs
• LLM Integration