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23 часа назад

Senior Data Scientist (Ad-Tech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/US/Israel +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (Ad-Tech): Improving existing algorithms and developing new ones to analyze data and provide accurate predictions for hirify.global' activities with an accent on high-volumetry, low-latency topics. Focus on implementing algorithms end-to-end and collaborating with various teams to develop services from design to production.

Location: Hybrid working model (3 days per week in the office)

Company

hirify.global is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens.

What you will do

  • Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the hirify.global activities.
  • Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
  • Implement your algorithms and models end to end.
  • Collaborate with a variety of teams to develop services from design to production.
  • Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
  • Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across hirify.global’ global publisher network.

Requirements

  • 5+ years of hands-on experience with coding ML based solutions in high scale systems
  • Relevant industry experience / publications in ad-tech and recommender system.
  • Msc/Phd in computer science / math.
  • Industry experience in building engineering at scale.
  • Large-scale distributed systems, service oriented architecture.
  • Previous experience with all or some of the elements of our Stack (we mainly use Go , Python , Java , AWS, Jupyter notebooks).
  • Knowledge in data engineering.
  • Ability to transform raw data into actionable business insights.

Culture & Benefits

  • Hybrid working model (3 days per week in the office)
  • Nearby parking available
  • Expand your toolbox with our mentorship program and internal learning tools
  • Pet friendly office
  • Happy hours
  • Fully stocked kitchen

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