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2 дня назад

Data Scientist (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 (AI): Developing predictive models and machine learning solutions for fraud detection in a production environment with an accent on statistical analysis, deep learning, and data visualization. Focus on designing end-to-end solutions with data engineers and software developers, analyzing behavioral data, and developing LLM-based assistants or autonomous workflows.

Location: Tel Aviv, Israel

Company

hirify.global develops behavioral biometrics technology that uses machine learning to analyze digital behavior, helping financial institutions prevent fraud and improve digital trust.

What you will do

  • Work with stakeholders to understand business requirements and develop predictive models for fraud detection.
  • Develop and implement statistical, machine learning, and deep learning algorithms for complex production problems.
  • Perform exploratory data analysis and data visualization to identify insights and communicate findings.
  • Collaborate with data engineers and software developers on end-to-end solutions for production deployment.
  • Implement advanced analytics tools and technologies to improve reporting capabilities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field; a PhD with relevant experience is also considered.
  • At least 5 years of experience as a Data Scientist or in a related field, including work in a production environment.
  • Strong programming skills in Python and proficiency in SQL.
  • Deep understanding of statistical analysis, machine learning, deep learning, and data visualization techniques.
  • Strong communication and collaboration skills.

Nice to have

  • Experience developing AI agents, including LLM-based assistants or autonomous workflows.

Culture & Benefits

  • Full-time employment within a cross-functional product and engineering environment.
  • Work focused on behavioral biometrics, fraud prevention, and machine learning innovation.

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