TWG Global AI

TWG Global AI

Senior Data Scientist - Graphs & Entity Resolution

Santa Monica, California, United States · Senior

Sponsorship not specified$190k-$290kDetected 1 day ago
Machine LearningData ScienceMLOpsResearch

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odds of building a lasting career here

37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

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About the role

  • Manipulation and fraud rarely happen through a single account.
  • The hard problem in surveillance is connecting activity that's deliberately spread across many accounts, wallets, or identities that share no obvious link.

Responsibilities

  • Co-own the Attribution Substrate:
  • fusing vendor attribution clusters (e.g., Chainalysis) with on-chain behavioral clustering into a confidence-scored entity-resolution layer Build graph-based features and representations (embeddings, network features) that feed the wider detection system Partner with engineering as the graph extends to new data sources and market types

Nice to have

  • you've built graph pipelines that run, not just research notebooks Financial-crime, market-surveillance, or trading-domain exposure a plus FIX / market-microstructure fluency a plus
  • for the second seat, on-chain / EVM primitives and wallet-clustering experience strongly preferred

Compensation

  • The base pay for this position is $190,000-290,000.
  • A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.

Benefits

  • A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.

This listing is sourced directly from TWG Global AI's careers page and normalized into a canonical job model.