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Data Scientist (ML)

Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Scientist (ML) (Python, PyTorch, LightGBM): Building production ML systems for ads monetization, LTV prediction, and in-game personalization across a portfolio of mobile games with an accent on end-to-end model ownership and business-metric optimization. Focus on researching open monetization problems, developing predictive and personalization models, validating them through A/B tests, and deploying iterative solutions to production.

Location: Relocation support is provided to countries where hirify.global has offices.

Company

hirify.global develops and operates a portfolio of mobile games with billions of installs, using machine learning to optimize user acquisition, monetization, and personalization.

What you will do

  • Research and develop ad monetization optimization systems, including floor pricing and ad load balancing.
  • Build models to predict LTV and other key user metrics from large-scale behavioral data.
  • Develop in-game personalization systems for difficulty and content management.
  • Own models end to end, from problem framing and research through production deployment and post-launch iteration.
  • Validate models with A/B tests in collaboration with the analytical team and bring successful solutions to production.

Requirements

  • Experience with predictive modeling and deploying ML models to production.
  • Strong Python skills and hands-on experience with the modern ML stack.
  • Profound understanding of statistics and machine learning.
  • Experience framing open problems, exploring data, building baselines, and iterating toward ML solutions.
  • B2+ English and fluent Russian are required.

Nice to have

  • Experience with reinforcement learning, recommender systems, ad tech, or mobile games.

Culture & Benefits

  • Relocation support to countries where company offices are located.
  • Performance bonuses and a competitive market salary.
  • Equipment, private medical coverage, sports reimbursement, paid vacation, and sick days.
  • English, Greek, and Polish online language classes.
  • Education and professional development reimbursement.
  • Regular company events and monthly Friday meetings.

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