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3 дня назад

Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI): Building and validating models for churn prediction, purchase propensity, CLV modeling, and personalized engagement with an accent on understanding customer behavior and enabling data-driven growth. Focus on applying deep learning approaches such as transformers, embeddings, or sequence models to high-impact projects that influence how PlayStation engages and retains its players.

Location: Hybrid Working (within Flexmodes)

Company

hirify.global is a global leader in entertainment, producing The PlayStation family of products and services.

What you will do

  • Build and validate models for churn prediction, purchase propensity, CLV modeling, and personalized engagement.
  • Apply machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behavior and growth.
  • Partner with commercial, finance, and lifecycle teams to translate business needs into modeling hypotheses.
  • Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
  • Communicate findings to both technical and non-technical partners.
  • Grow your expertise in modern ML approaches through high-visibility projects.

Requirements

  • Strong analytical and critical thinking skills.
  • Practical experience with predictive modeling.
  • Proficiency in Python and SQL, with fluency in common data science libraries.
  • Ability to work with large datasets to uncover actionable insights.
  • Interest or early experience in deep learning approaches.
  • A collaborative attitude to work in cross-functional teams.

Nice to have

  • Experience with A/B testing or experimentation frameworks.
  • Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualization platforms (e.g., Tableau, Domo).
  • Exposure to gaming, e-commerce, or subscription-based business models.
  • Proven experience of analyzing and modeling with “big data” technologies.
  • A personal interest in gaming and entertainment.

Culture & Benefits

  • Discretionary bonus opportunity
  • Private Medical Insurance
  • Dental Scheme
  • 25 days holiday per year
  • On Site Gym
  • Subsidized Café
  • Free soft drinks
  • On site bar
  • Access to cycle garage and showers

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