Data Scientist, Data Quality and Benchmarking
@ Chainlink Labs

Hybrid
$150,000
Hybrid
Full Time
Posted 4 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @chainlinklabs.com
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Job Details

About Chainlink Labs

Chainlink Labs is a primary developer of Chainlink, the industry-standard oracle platform powering decentralized finance and capital markets onchain. They serve major financial institutions including Swift, Euroclear, Mastercard, Fidelity International, UBS, and many more.

About the Role

The Data Scientist, Data Quality and Benchmarking will build real-time pricing systems to generate high-integrity reference prices across thousands of assets. You will design models and detection logic to ensure price data remains trustworthy during market stress.

Your Impact

  • Build real-time pricing systems.
  • Model complex, adversarial financial markets.
  • Lead data forensics and post-trade analysis.
  • Quantify user impact during incidents.
  • Implement fixes to reduce recurrence of issues.

Requirements

Candidates should have a working knowledge of core DeFi primitives, oracle literacy, and on-chain data fluency. Familiarity with blockchain fundamentals, market microstructure, and financial time series anomaly detection is essential.

Preferred Requirements

Experience with Chainlink data products, smart contract reading (Solidity/Rust), operating with indexing stacks, and designing SLO-driven alerting systems is highly valued. Proficiency in Python, SQL, and web3 libraries is expected.

Work Arrangement

This role is global and remote-based with some overlapping work hours with Eastern Standard Time (EST).

Key skills/competency

Data Scientist, Real-time Pricing, DeFi, Blockchain, Oracle, Data Quality, Anomaly Detection, Python, SQL, Web3

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How to Get Hired at Chainlink Labs

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data science and blockchain experience.
  • Showcase projects: Demonstrate real-time pricing and anomaly detection work.
  • Research Chainlink Labs: Understand their data ecosystem and products.
  • Prepare for technical interviews: Practice blockchain and smart contract questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python and SQL coding skills.
Practice EVM logs and blockchain data analysis.
Study real-time pricing model construction.
Familiarize with web3 libraries and smart contracts.

Behavioral Questions

Describe handling high-pressure data incidents.
Explain teamwork in remote settings.
Share an experience managing unexpected risks.
Detail how you adapt to fast-changing markets.

Frequently Asked Questions