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3 дня назад

Data Scientist II (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SA, Egypt
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 II (AI): Using data creatively to solve business challenges by developing advanced analytics models to optimize underlying business problems with an accent on applying state-of-the-art advanced analytics, quantitative tools, and modeling techniques. Focus on interpreting data, making inferences, offering recommendations, and driving processes for extracting and using data in creative ways.

Location: Onsite in Cairo or Riyadh.

Company

hirify.global teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.

What you will do

  • Use data creatively to solve business challenges and uncover transformative opportunities.
  • Develop advanced analytics models to optimize underlying business problems.
  • Apply state-of-the-art advanced analytics, quantitative tools, and modeling techniques to interpret data and offer recommendations.
  • Shape the future of data-driven organizations and drive processes for data extraction and usage.
  • Create valuable, transformative business strategies through data measurement, manipulation, reporting, and dissemination.
  • Review, support, and advise on clients’ day-to-day analytics requirements while continually improving processes.

Requirements

  • Undergraduate degree in mathematics, statistics, physics, or engineering.
  • 3+ years of professional experience in programming, with an emphasis on machine learning.
  • Experience in data treatment/data mining using SQL, AWK, Access, or Spark.
  • Demonstrated aptitude for analytics.
  • Proven record of leadership in a work setting or through extracurricular activities.
  • Ability to communicate complex ideas effectively, both verbally and in writing, in English required.

Nice to have

  • Master's degree.
  • Knowledge in SPSS, SAS, Ruby, or Hadoop.
  • Statistical knowledge.
  • Fluency in local office language(s).

Culture & Benefits

  • Continuous learning and apprenticeship culture backed by structured programs for growth and development.
  • Opportunity to make a tangible impact by offering innovative ideas and practical solutions.
  • Global community with colleagues across 65+ countries and diverse backgrounds.
  • Competitive salary and a comprehensive benefits package for holistic well-being.
  • High performance/high reward culture that fosters drive, determination, and curiosity.
  • Daily apprenticeship, coaching, and exposure to accelerate growth.

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