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23 часа назад

Data Scientist Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Scientist Intern (AI): Developing new algorithms to implement scientific solutions for Amazon problems with an accent on A/B testing, metric definition, and customer engagement analysis. Focus on designing and scaling data-driven projects from local implementation to EMEA/worldwide impact.

Location: Onsite in Tel Aviv, Israel (not remote)

Company

A global leader in technology and e-commerce, leveraging AI and science to drive customer-obsessed innovation at scale.

What you will do

  • Develop new algorithms to implement scientific solutions for complex business problems.
  • Design, run, and analyze A/B tests to drive step-change innovation.
  • Collaborate within an interdisciplinary team of scientists and engineers.
  • Define metrics and design algorithms to estimate customer satisfaction and engagement.
  • Create and deliver projects that can be scaled from local levels to EMEA or worldwide.
  • Prepare and share data findings through technical papers and presentations.

Requirements

  • Currently enrolled in a Masters degree or PhD in computer science, mathematics, statistics, machine learning, or related fields.
  • Fluent English (speaking, writing, and reading).
  • Experience with data scripting languages such as SQL, Python, or R.
  • Experience in big data processing, filtering, and presenting large datasets.
  • Ability to implement algorithms using both toolkits and self-developed code.
  • Must be available to work onsite in Tel Aviv.

Nice to have

  • Experience in optimization (LP, MIP), statistics, machine learning, or process control.
  • Proficiency with statistical/mathematical software like SAS or Matlab.

Culture & Benefits

  • Competitive stipend/salary.
  • Direct pairing with an experienced manager and mentor.
  • Access to intern program initiatives and site events.
  • Opportunities to build a professional network with Amazon Scientists.
  • Potential to publish research work at top-tier scientific conferences.

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