Data Scientist, Data Quality and Benchmarking jobs in United States
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Chainlink Labs · 1 week ago

Data Scientist, Data Quality and Benchmarking

positionUnited States
timeFull-time
remoteRemote
seniorityMid Level

Chainlink Labs is the industry-standard oracle platform powering decentralized finance (DeFi) and bringing capital markets onchain. They are seeking a Data Scientist to build real-time pricing systems, model complex markets, and lead data forensics during incidents to enhance pricing integrity.

BlockchainInternetSoftwareWeb3

Responsibilities

You’ll build real-time pricing systems
You’ll model complex, adversarial markets to understand where risk originates
When incidents occur, you’ll 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

Qualification

DeFi primitives knowledgeOracle literacyOn-chain data fluencyBlockchain fundamentalsMarket microstructure awarenessChainlink data productsSmart contracts readingAnomaly detection designPython/SQL proficiencySoft skills

Required

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

Preferred

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)

Company

Chainlink Labs

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Chainlink Labs provides open-source blockchain oracle solutions and specializes in the development and integration of chainlink.
dateFounded in 2014
location
San Francisco, California, USA
people-size501-1000 employees
web-link
https://chainlinklabs.com/

Funding

Current Stage
Public Company
Total Funding
$32M
2017-09-20Initial Coin Offering· $32M
2017-01-01Series Unknown

Leadership Team

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Kemal El Moujahid
Advisor
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