Chainlink Labs is hiring a Data Scientist for Data Quality and Benchmarking. In this role, you will build real-time pricing systems that produce high-integrity reference prices across thousands of assets. You'll design the models and detection logic that keep those prices trustworthy under stress.
What You'll Do
- Build real-time pricing systems.
- Model complex, adversarial markets to understand where risk originates.
- When incidents occur, lead the data forensics (pre/post-trade analysis, benchmark vs. pool price deltas, liquidity gaps), quantify user impact, and ship fixes that measurably reduce recurrence.
What We're Looking For
- Working knowledge of core DeFi primitives and how they generate on-chain signals.
- Oracle literacy: how on/off-chain price feeds are constructed (CEX/DEX sourcing, outlier trimming, medians/TWAPs), and common failure modes (staleness, rubber-banding/instability, flatlining, thin-liquidity manipulation, flash-loan driven spikes).
- On-chain data fluency: reading EVM logs/traces, ABIs and token standards (ERC-20/721/1155), identifying swaps/transfers/liquidations in event streams, and understanding subgraph/indexing patterns.
- Blockchain fundamentals that impact alerting: block production/finality/reorgs, mempool dynamics, gas markets, and chain-specific latency characteristics that influence MTTD/MTTR and false positives.
- Market microstructure awareness: liquidity depth, slippage, pool imbalance, funding rates/open interest (for perps), and how these drive benchmark construction and deviation alerts.
Nice to Have
- Hands-on with Chainlink data products (Data Feeds/Mercury/Streams/CCIP) and oracle attack surfaces; prior incident response or post-mortem work on price/peg/latency events.
- Ability to read simple smart contracts (Solidity/Rust) to validate event schemas; experience operating against major RPC providers and with indexing stacks (subgraphs, BigQuery public chains).
- Experience designing anomaly detection for financial time series and standing up SLO-driven alerting with Prometheus/Alertmanager/Grafana/Flink + on-call tools (PagerDuty).
- Python/SQL with web3 libraries (web3.py/ethers), ABI decoders; Dune/Flipside/Covalent/BigQuery; Kafka/stream processing. Portfolio showing dashboards/alerts for protocol health, price benchmarks vs. pool prices, and data-quality detectors (staleness/flatline/latency).
Technical Stack
- Python, SQL, web3 libraries (web3.py/ethers), ABI decoders
- Dune, Flipside, Covalent, BigQuery
- Kafka, stream processing
- Prometheus, Alertmanager, Grafana, Flink
- Solidity, Rust
Work Mode
This role operates on a global scale.
Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances.
