Senior Neo4j Graph Data Science (GDS) Developer

Software Requirements:

• Graph Databases:4 years of dedicated hands-on experience with Neo4j(Enterprise Edition AuraDB or Aura Analytics) and deep mastery of the Cypherquery language.
• Graph Analytics:Extensive experience utilizing the Neo4j Graph Data Science (GDS)library to implement graph-native unsupervised/supervised ML link prediction and node classification.
• Core Languages:Strong proficiency in Python(PyData stack graph-data-scienceclient) and/or Java(for custom stored procedures and extension development).
• AI & NLP:Experience with Knowledge Graph generation Vector Search and orchestration tools for GraphRAGor agentic AI patterns.
• Cloud & Data Ecosystem:Proven experience with cloud data architectures (AWS Azure or GCP) and integrations with modern data lakes/warehouses (Snowflake Databricks BigQuery or Spark).
• DevOps & Infrastructure:Solid understanding of Docker Kubernetes and deployment configurations for distributed graph systems.

Overall Responsibilities:

• Graph Architecture & Modeling:Lead the design and implementation of highly scalable enterprise-grade Labeled Property Graph (LPG) data models optimized for both transactional querying and global graph analytics.
• Graph Data Science & ML:Apply the Neo4j GDS library to execute advanced graph algorithms (e.g. PageRank Louvain Weakly Connected Components Node Embeddings like FastRP) to uncover hidden patterns fraud rings or network clusters.
• Query Optimization:Write test and tune complex multi-hop Cypherqueries stored procedures and User Defined Functions (UDFs) to ensure sub-second response times across billions of nodes and edges.
• AI & GraphRAG Integration:Architect and integrate knowledge graphs with vector databases large language models (LLMs) and framework agents using Model Context Protocol (MCP) or LangChain to support accurate contextual reasoning workflows.
• Data Ingestion & Pipelines:Design build and optimize scalable ETL/ELT pipelines using Apache Spark Apache Arrow Kafka or Neo4j data warehouse connectors to stream and sync data from diverse cloud and on-premise sources.
• Performance Tuning & MLOps:Manage multi-hop computational graphs in-memory configure database projections and scale Neo4j/AuraDB setups for performance memory footprint tuning and predictable cloud infrastructure costs.
• Collaboration & Leadership:Partner with Data Scientists Software Engineers and domain experts to align graph design with downstream business intelligence dashboards (NeoDash Tableau) and enterprise AI solutions. Mentor junior developers on graph thinking.

Skills:

• Graph Mindset:The ability to look at traditional tabular/relational business data and intuitively map it out as interconnected networks.
• Problem Solver:Excellent analytical skills to troubleshoot memory allocation errors long-running queries or complex graph projection challenges.
• Strong Communicator:Ability to explain complex graph topologies and ML metrics clearly to non-technical business stakeholders.

Experience:

• Graph Databases:4 years of dedicated hands-on experience with Neo4j(Enterprise Edition AuraDB or Aura Analytics) and deep mastery of the Cypherquery language.
• Graph Analytics:Extensive experience utilizing the Neo4j Graph Data Science (GDS)library to implement graph-native unsupervised/supervised ML link prediction and node classification.
• Core Languages:Strong proficiency in Python(PyData stack graph-data-scienceclient) and/or Java(for custom stored procedures and extension development).
• AI & NLP:Experience with Knowledge Graph generation Vector Search and orchestration tools for GraphRAGor agentic AI patterns.
• Cloud & Data Ecosystem:Proven experience with cloud data architectures (AWS Azure or GCP) and integrations with modern data lakes/warehouses (Snowflake Databricks BigQuery or Spark).
• DevOps & Infrastructure:Solid understanding of Docker Kubernetes and deployment configurations for distributed graph systems.

Day-to-Day Activities:

• Participating in daily stand-up meetings and project planning sessions.
• Collaborating with cross-functional teams to understand business requirements and design solutions.
• Writing testing and deploying software solutions.
• Participating in code reviews and providing feedback to other team members.
• Staying current with the latest technology trends and advancements.
• Providing technical support to team members and resolving technical issues.

Qualification:

• Bachelors or Masters degree in Computer Science Data Science Data Engineering Mathematics or a related quantitative field.
• Neo4j Certified Professionalor Neo4j Graph Data Science Certifiedis highly desirable.

Soft Skills:

• Graph Mindset:The ability to look at traditional tabular/relational business data and intuitively map it out as interconnected networks.
• Problem Solver:Excellent analytical skills to troubleshoot memory allocation errors long-running queries or complex graph projection challenges.
• Strong Communicator:Ability to explain complex graph topologies and ML metrics clearly to non-technical business stakeholders.

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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