Senior Data Scientist (Graph & Neo4j)
Role Overview
This senior-level role involves designing and implementing graph-based models using Neo4j and its GDS library to solve high-impact problems like fraud detection and recommendation engines. Day-to-day responsibilities include architecting scalable graph schemas, optimizing Cypher queries, and productionizing machine learning models with graph features. The hire will collaborate with AI engineers to integrate Knowledge Graphs into LLM workflows, impacting clients' strategic competitive advantage through data insights.
Perks & Benefits
The position offers a fully remote setup with a requirement to work within CET +/- 3 hours, ensuring predictable 8-hour workdays for a balanced lifestyle. Benefits include on-time monthly payments, flexible withdrawal options, up to 24 flex days off per year without pay loss, and access to exclusive long-term opportunities at cutting-edge companies. Career growth is supported through hand-picked, seamless processes with no extra assessments, fostering a growth-oriented and collaborative culture.
Full Job Description
Headquarters: Sweden URL: http://career.proxify.io
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.
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 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.
What we offer:
Get paid, not played No more unreliable clients. 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
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