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Lead Data Scientist (AI/ML)

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

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TL;DR

Lead Data Scientist (AI/ML): Designing, coding, experimenting, and implementing models and algorithms to maximize customer experience and business outcomes. With an accent on mining big data to discover actionable insights for improvements and innovation. Focus on machine learning infrastructure employing GPUs, CPU cores, and memory for real-world challenges.

Location: Singapore

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 of hundreds of millions of customers and more than 600M daily user-generated events, supplier and pricing 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, and 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 frameworks like Spark/Hadoop.
  • Experience in data science for e-commerce and/or OTA.

Culture & Benefits

  • Foster a work environment rich in diversity, creativity, and collaboration.
  • Innovate through a culture of experimentation and ownership.

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