[Remote] Data Scientist, Data Quality and Benchmarking at Chainlink Labs

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Blockchain, Decentralized FinanceIndustries

Requirements

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
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)

Responsibilities

Build real-time pricing systems
Model complex, adversarial markets to understand where risk originates
Lead data forensics (pre/post-trade analysis, benchmark vs. pool price deltas, liquidity gaps) when incidents occur
Quantify user impact during incidents
Ship fixes that measurably reduce recurrence

Skills

Key technologies and capabilities for this role

Data ScienceFinancial MarketsReal-time Pricing SystemsModel BuildingData ForensicsRisk ModelingDeFi PrimitivesOracle LiteracyOutlier TrimmingTWAPsCEX/DEX Sourcing

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What skills are required for this Data Scientist role?

Required skills include working knowledge of core DeFi primitives and on-chain signals, oracle literacy including price feed construction and failure modes, on-chain data fluency with EVM logs and token standards, blockchain fundamentals impacting alerting, and market microstructure awareness.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Chainlink Labs?

Chainlink Labs is a world-class team of over 600 developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces.

What makes a strong candidate for this position?

Strong candidates will have hands-on experience with Chainlink data products, oracle attack surfaces, incident response on price events, ability to read smart contracts in Solidity or Rust, and experience with RPC providers and indexing stacks like subgraphs and BigQuery.

Chainlink Labs

Decentralized oracle network for blockchain data

About Chainlink Labs

Chainlink Labs provides infrastructure for connecting real-world data with blockchain technology, enabling secure data transfer across various blockchain networks. Its main product is a decentralized oracle network that ensures the accuracy and reliability of data used in smart contracts, addressing the "Blockchain Oracle Problem." This service is essential for financial institutions, startups, and developers who require trustworthy data for transactions. Chainlink Labs has facilitated over $9 trillion in transaction value and serves a diverse clientele, including major financial institutions. The company operates on a business model where clients pay for access to its oracle network, ensuring a steady revenue stream as demand for secure data grows. The goal of Chainlink Labs is to transform global markets by enabling verifiable data transfer, contributing to a more economically fair world.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$32MTotal Funding

ICOCompany Stage

Cybersecurity, Crypto & Web3, Financial ServicesIndustries

501-1,000Employees

Risks

Competition from other oracle providers like Band Protocol could erode market share.

Expansion into new regions may expose Chainlink to geopolitical risks and regulatory challenges.

Reliance on major financial institutions means disruptions could significantly impact business.

Differentiation

Chainlink Labs connects real-world data with blockchain, solving the Blockchain Oracle Problem.

Their decentralized oracle network ensures accurate, tamper-proof data for smart contracts.

Chainlink Labs serves diverse clients, including Swift, DTCC, and ANZ Bank.

Upsides

Increased adoption of Cross-Chain Interoperability Protocol boosts partnerships and integrations.

Expansion into MENA region captures demand for blockchain in emerging markets.

Partnership with DTCC integrates traditional finance with decentralized finance, opening new revenue streams.

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