Data Scientist Data Quality and Benchmarking

About Us

Chainlink Labs is one of the primary contributing developers of Chainlink, the industry-standard oracle platform bringing capital markets onchain and powering the majority of decentralized finance. The Chainlink stack provides essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, Decentralized Finance (DeFi), payments, stable coins, and more.

We are looking for a data scientist who understands financial markets to build real-time pricing systems that produce high-integrity reference prices across thousands of assets. As a member of this team, you'll design the models and detection logic that keep those prices trustworthy under stress.

• Build real-time pricing systems
• Model complex, adversarial markets to understand risk origins
• Lead data forensics during incidents, including pre/post-trade analysis
• Quantify user impact and develop fixes to reduce recurrence

• Working knowledge of core DeFi primitives and on-chain signals
• Understanding of oracle price feed construction and common failure modes
• On-chain data fluency, including reading EVM logs/traces and understanding token standards
• Blockchain fundamentals impacting alerting and incident response
• Awareness of market microstructure and benchmark construction

• Experience with Chainlink data products and oracle attack surfaces
• Ability to read smart contracts in Solidity/Rust
• Experience in anomaly detection for financial time series
• Proficiency in Python/SQL with web3 libraries
• Portfolio demonstrating protocol health dashboards and data quality detectors

All roles are global and remote-based. We aim to have some working hours overlap with Eastern Standard Time (EST).