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7 дней назад

Data Science Manager (Blockchain)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Science Manager (Blockchain): Leading a high-performing team to connect blockchain activity to real-world entities with an accent on applied machine learning and large-scale data systems. Focus on technical innovation, product strategy, and scaling data pipelines to maintain market leadership in blockchain attribution.

Location: Must be based in US time zones with at least 6 hours overlap with US Eastern time

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt illicit blockchain activity.

What you will do

  • Lead and mentor a high-performing data science team at the intersection of blockchain and machine learning.
  • Drive technical innovation across the data stack, including Airflow, BigQuery, and Kafka.
  • Collaborate with engineering, product, and intelligence teams to transform raw blockchain data into actionable insights.
  • Set new standards for accuracy and usability in blockchain attribution products.
  • Recruit, develop, and retain top-tier data science talent.

Requirements

  • 4+ years of experience managing data science or ML teams.
  • Proven experience with large-scale data systems like BigQuery or Snowflake.
  • Strong programming skills in Python and familiarity with production code practices.
  • Must be available for at least 6 hours of overlap with US Eastern time.
  • Bachelor’s degree or higher in a quantitative field (CS, Stats, Physics, Engineering).
  • AI fluency is a baseline expectation for all team members.

Culture & Benefits

  • High-trust, fast-moving, and relentlessly curious environment.
  • Work at the bleeding edge of blockchain intelligence and national security.
  • Distributed-first company culture with high ownership and autonomy.
  • Emphasis on continuous feedback and rapid experimentation.
  • Opportunity to solve complex, high-impact problems in the fight against crime.

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