Data Scientist Data Quality and Benchmarking

Unchain Data; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work worldwide

EST overlap working hours

Job summary

Chainlink Labs seeks 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.

You will work with on-chain data, DeFi primitives, and oracle feeds, applying anomaly detection and incident response to quantify user impact and prevent recurrence.

Qualifications

• 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.

Responsibilities

• 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

Skills

DeFi primitives

On-chain signals

Solidity/Rust reading

Anomaly detection

Python/SQL

Tools

Solidity

Rust

Python

SQL

Web3 libraries

Job description

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, stablecoins, and more.

About the Role

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.

Responsibilities

• 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

Requirements

• 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

Preferred Skills

• 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

Benefits

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