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3 часа назад

Senior Data Scientist (Cybersecurity)

100 000 - 125 000$
Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Canada/Brazil
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
Senior Data Scientist (Cybersecurity): Building, evaluating, and deploying machine learning models for risk scoring, threat intelligence, and vendor risk assessment with an accent on model robustness, scalability, and production integration. Focus on analyzing large and complex datasets, validating advanced ML methods, and collaborating with product managers and engineers to solve challenging cybersecurity problems.

Location: Remote (Brazil)

Salary: $100,000–$125,000 USD annual total compensation (base plus bonus)

Company

hirify.global provides cybersecurity ratings and risk management solutions used by organizations worldwide to identify and address risks across their digital footprints.

What you will do

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Analyze large and complex datasets to identify patterns, trends, and anomalies.
  • Validate model accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Communicate findings and recommendations to technical and non-technical audiences while applying current research and technologies.

Requirements

  • Advanced degree in computer science, statistics, mathematics, or another quantitative field, or equivalent professional experience.
  • 5+ years of experience applying data science and machine learning to real-world problems.
  • Proficiency in Python and machine learning or data science frameworks such as scikit-learn, XGBoost, MLFlow, or PyTorch.
  • Experience with cloud-based data pipelines using AWS, GCP, or similar platforms.
  • Strong understanding of machine learning algorithms, evaluation metrics, and model deployment.
  • Effective communication and collaboration skills.

Nice to have

  • Exposure to cybersecurity, threat intelligence, or risk scoring.
  • Interest in or experience with LLMs.
  • Working knowledge of Scala.

Culture & Benefits

  • Remote work arrangement specific to Brazil.
  • Competitive country-specific compensation, stock options, and health benefits.
  • Unlimited PTO and parental leave.
  • Tuition reimbursement and additional company benefits.
  • Immigration sponsorship is not provided for this position.

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