Proxify AB: Senior Data Scientist (Graph & Neo4j)

Source: weworkremotely URL: http://career.proxify.io

About the Role

We are looking for a Senior Data Scientist for one of our clients. You will lead the design and implementation of graph-based models to solve high-impact problems—ranging from fraud detection and recommendation engines to complex GraphRAG architectures. As a Neo4j specialist, you will turn interconnected data into a strategic competitive advantage for our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

Requirements

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 to move 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.
Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.

Responsibilities

Design and architect scalable graph schemas in Neo4j that represent complex real-world entities and their relationships.
Use 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, improving the factuality and context-awareness of generative AI solutions.
Use tools like Neo4j Bloom or Linkurious to translate complex graph insights into actionable stories for stakeholders.

Benefits

Get paid, not played: Enjoy on-time monthly payments with flexible withdrawal options.
Predictable project hours: Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
Flex days, so you can recharge: Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
Career-accelerating positions at cutting-edge companies: Discover exclusive long-term remote positions at the world's most exciting companies.
Hand-picked opportunities, just for you: Skip the typical recruitment roadblocks and biases with personally matched positions.
One seamless process, multiple opportunities: A one-time contracting process for endless opportunities, with no extra assessments.
Compensation: Enjoy the same pay, every month with positions landed through Proxify.

To Apply

https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-scientist-graph-neo4j