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- Blockchain Engineer
- Data Engineer
- Data Scientist
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Method of Application
Latest Jobs at ParallelScore
Blockchain Engineer
- Job Type Full Time
- Qualification BA/BSc/HND
- Experience 5 years
- Location Lagos
- Job Field ICT / Computer 
- We are hiring a Blockchain Engineer to design, develop, and deploy decentralized applications and smart contracts. The ideal candidate combines strong software engineering skills with hands-on blockchain experience and a passion for innovation in distributed systems.
Key Responsibilities
- Develop and deploy smart contracts using Solidity, Rust, or Vyper.
- Build and integrate blockchain-based applications (Ethereum, Polygon, or other EVM-compatible chains).
- Collaborate with backend engineers to connect blockchain components to APIs and databases.
- Implement best practices for security, scalability, and testing of smart contracts.
- Stay current on Web3, DeFi, and Layer-2 advancements.
Required Skills & Experience
- 5+ years in software engineering, including 2–3 years in blockchain development.
- Proficiency in Solidity, Web3.js/ethers.js, and blockchain frameworks (Hardhat, Truffle).
- Strong understanding of cryptography, consensus mechanisms, and token standards (ERC-20, ERC-721).
- Familiarity with cloud infrastructure (AWS, Azure) and CI/CD pipelines.
Preferred
- Live project or Open-Source contribution
- Experience with The Graph, IPFS, or smart-contract indexing.
- Knowledge of DeFi protocols or blockchain analytics.
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Method of Application
- We are seeking an experienced Data Scientist with strong expertise in graph analytics and Neo4j to build intelligent models that uncover hidden relationships and optimize decision-making. You will design and implement analytical frameworks using graph data, AI, and statistical modeling.
Must Have Capability
- Design and execute graph-based analytical models using Neo4j, Cypher, and the Graph Data Science Library.
- Develop machine learning and predictive models leveraging graph embeddings.
- Collaborate with data engineers to prepare and transform large, complex graph datasets.
- Apply algorithms such as community detection, link prediction, and centrality analysis.
- Communicate findings through data visualization and storytelling to business stakeholders.
Required Skills & Experience
- 5+ years of experience in data science or analytics.
- Proficiency with Neo4j, Cypher, and graph-based data modeling.
- Strong programming skills in Python (pandas, scikit-learn, PyTorch/TensorFlow).
- Solid foundation in statistics, feature engineering, and ML pipelines.
- Familiarity with cloud platforms and Databricks for data preparation.
Preferred
- AWS Cloud certification
- Knowledge of graph neural networks (GNNs) or advanced graph embeddings.
- Experience deploying models into production (APIs, dashboards).

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