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5 дней назад

Data Scientist (Cybersecurity)

125 000 - 175 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Английский
b2
Страна
Canada
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
Data Scientist (Cybersecurity): Developing statistical and machine learning techniques for bot detection and fraud prevention across offline and real-time infrastructures with an accent on large-scale data, production systems, and cybercrime detection. Focus on researching detection frameworks, deploying algorithms, improving ML infrastructure, and building automation for fraud-fighting workflows.

Location: Remote in Canada

Salary: CA$125,000–CA$175,000 base pay annually, with potential bonuses, incentives, stock options, and benefits.

Company

hirify.global develops a platform that protects enterprises and internet platforms from sophisticated bots, fraud, and account abuse.

What you will do

  • Partner with Product, Engineering, and Analysts to improve bot detection, develop product features, and optimize data and machine learning infrastructure.
  • Research and experiment with detection frameworks, statistical techniques, and machine learning tools for cybersecurity and fraud prevention.
  • Gather business requirements, conduct exploratory research, and develop and deploy statistical detection techniques in production.
  • Review detection rules and algorithms, monitor system anomalies, and participate in processes that maintain code quality and reliability.
  • Build software tooling and automation that accelerates fraud discovery and reduces cumbersome manual work.

Requirements

  • Experience solving large-scale, data-intensive problems in production systems.
  • Strong understanding of statistical modeling approaches and the engineering realities of shipping production code.
  • Proficiency in Python and SQL, with familiarity with related tools, libraries, and platforms.
  • Object-oriented development and strong debugging skills.
  • Experience with cross-functional projects, multiple technical and non-technical stakeholders, and SDLC practices including project management, version control, unit testing, and CI/CD.

Culture & Benefits

  • Flexible remote work options.
  • Well-being and learning stipends.
  • Dedicated time off and a comprehensive total rewards package.
  • Opportunity to work with global teams on internet safety and cybersecurity.

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