Назад
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2 дня назад

Principal Data Scientist, Detection (AI)

215 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Data Scientist, Detection (AI): Lead the research, design, and evaluation of detection models for automated, fraudulent, and malicious activity across Internet-scale data with an accent on fraud and bot detection, applied statistics, machine learning, and noisy ground truth. Focus on defining detection measurement frameworks, driving AI/ML adoption, mentoring data scientists, and shaping cross-functional detection strategy.

Location: Hybrid; available in New York or London

Salary: $215,000–$270,000 annual salary for New York City-based hires; compensation may vary by work location.

Company

hirify.global builds and operates a global network and security platform that protects and accelerates Internet applications, websites, and other online services.

What you will do

  • Lead research, design, and evaluation of detection models identifying automated, fraudulent, and malicious activity at Internet scale.
  • Define detection metrics and evaluation strategies for problems with noisy, delayed, contested, or missing ground truth.
  • Mentor others in identifying behavioral patterns that distinguish adversaries from legitimate users.
  • Drive adoption of promising AI and machine learning techniques and contribute to the broader research community.
  • Partner with ML Engineers, Data Engineers, and Product teams to influence roadmaps and align detection strategy with company priorities.
  • Shape long-term detection strategy across multiple product areas.

Requirements

  • 8–10 years of professional experience in Data Science, ML Engineering, or Software Engineering.
  • Experience with fraud, abuse, and/or bot detection on large, high-velocity traffic.
  • Strong applied statistics, machine learning, AI methodology, and large-scale data fundamentals.
  • Ability to make ambiguous, high-stakes technical decisions with incomplete information.
  • Production experience with Python and SQL.
  • Ability to work in a hybrid setup in New York or London.

Nice to have

  • Experience building detections with weak, delayed, absent, or adversarial labels.
  • Understanding of how detection deployment can affect future signal visibility.
  • Strong programming and engineering practices in research and production code.
  • Ability to connect technical work to business impact and communicate with technical and non-technical stakeholders.

Culture & Benefits

  • AI-native, iterative environment focused on curiosity, experimentation, and shared learning.
  • Medical, dental, and vision insurance, flexible spending accounts, and mental health support.
  • Retirement savings plan, employee stock participation, disability, life, and accident insurance.
  • Flexible paid time off covering vacation and sick leave, plus parental, pregnancy, medical, and bereavement leave.
  • Global travel medical insurance and family-forming benefits.

Hiring process

  • Candidates progressing to the offer stage may be asked to attend an in-person interview at a hirify.global office or hub.

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