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Lead/ Staff Data Scientist (Bangkok based)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Thailand
Релокация
Thailand
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, нашего списка международных tech-компаний

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Описание вакансии

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TL;DR

Lead/Staff Data Scientist (AI/ML): Design and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness with an accent on processing 600B events every day and making some 5B predictions. Focus on dynamic pricing, predicting customer intents in real time, and making personalized recommendations.

Location: The role will be based in Bangkok

Company

hirify.global is an online travel booking platform for accommodations, flights, and more.

What you will do

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
  • Mine big data and discover actionable insights to drive improvements and innovation.
  • Work with developers and a variety of business owners to deliver daily results with the best quality.
  • Research, discover and harness new ideas that can make a difference.

Requirements

  • 4+ years hands-on data science experience.
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
  • Can lead, work independently as well as play a key role in a team.
  • Good communication and interpersonal skills for working in a multicultural work environment.

Nice to have

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
  • Experience in NLP, image processing and/or recommendation systems.
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
  • Experience in data science for e-commerce and/or OTA.

Culture & Benefits

  • Work environment rich in diversity, creativity, and collaboration.
  • Culture of experimentation and ownership.

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