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2 дня назад

Data Scientist (Gamedev)

Тип работы
fulltime
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 (Gamedev): Developing machine learning models for churn prediction, purchase propensity, and customer lifetime value to drive personalized player experiences with an accent on player behavior analysis and engagement. Focus on translating large-scale behavioral and transactional data into actionable strategies that improve player retention and long-term value.

Company

Global leader in entertainment producing the PlayStation family of products and services, including consoles, software titles, and network services.

What you will do

  • Own the development and delivery of ML models for churn prediction, purchase propensity, store recommendations, and customer lifetime value.
  • Translate business problems into modeling approaches, selecting appropriate methods and features to deliver measurable impact.
  • Analyze large-scale behavioral and transactional data to uncover patterns and opportunities for player growth.
  • Collaborate with engineering, product, and commercial stakeholders to ensure solutions are robust and scalable.
  • Partner with commercial and finance teams to support decision-making with data-driven insights.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Requirements

  • Experience building predictive models (churn, propensity, segmentation, or value modeling) in a commercial setting.
  • Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
  • Solid understanding of machine learning techniques such as regression, tree-based models, and clustering.
  • Ability to independently manage the end-to-end process from problem definition to delivery.
  • Strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field.
  • Experience working with large datasets to generate actionable insights.

Nice to have

  • Experience with experimentation or A/B testing.
  • Familiarity with production environments, MLOps, or data pipelines.
  • Experience with PySpark or equivalent distributed data processing tools.
  • Experience in gaming, e-commerce, or subscription-based products.

Culture & Benefits

  • Inclusive environment that empowers employees and embraces diversity.
  • Opportunity to work at a global leader in the gaming and entertainment industry.
  • Collaborative, cross-functional team environment.
  • Commitment to equal opportunity and fair chance employment.

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