Merkle Science

Merkle Science

Merkle Science provides a predictive crypto risk and intelligence platform that specializes in next-generation threat detection, risk management, and compliance solutions for businesses, banks, and government agencies, enabling them to identify suspici...

Capital Markets
11-50
Founded 2018
$26M raised

Description

  • Design, test, and deploy clustering and attribution heuristics for multi-chain transaction data.
  • Measure heuristic performance using precision, coverage, and ground-truth benchmarks.
  • Pull, clean, join, and model large on-chain datasets end to end.
  • Build and maintain production pipelines, including backfills, incremental runs, and validation.
  • Investigate blockchain edge cases such as mixers, bridges, exchange hot wallets, and consolidation patterns.
  • Partner with investigations and product teams to define correctness and validate results.
  • Prototype new approaches quickly and harden successful solutions for production.

Requirements

  • 4+ years of experience building and shipping data science or data engineering systems.
  • Strong Python and SQL skills.
  • Experience working with large datasets, including joins, deduplication, and data skew at scale.
  • Knowledge of clustering, graph/network analysis, or entity resolution.
  • Ability to evaluate and defend precision-versus-coverage trade-offs using appropriate metrics.
  • Ability to independently scope ambiguous problems, obtain data, and drive solutions to completion.
  • Experience with Databricks, Spark, Kafka, TigerGraph, ClickHouse, orchestration tools, Git/GitHub, or GCP is beneficial.

Benefits

  • Excellent health insurance.
  • Flexible time off and work/life-balanced hours.
  • Learning and development initiatives.
  • Mental health discussions and team-building sessions.
  • Industry-leading compensation.
  • Generous equity.
  • Career growth opportunities in a rapidly growing company.

Interested in this position?

Apply directly on the company website

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