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5 часов назад

Senior Product Analyst / Data Scientist (Gamedev)

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

Текст:
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TL;DR

Senior Product Analyst / Data Scientist (Gamedev): Developing predictive models and AI agents while analyzing product metrics for a mobile game portfolio with an accent on player behavior, LTV prediction, and statistical rigor. Focus on productionizing Python pipelines, building LLM-powered data interfaces, and optimizing F2P game economies.

Location: Hybrid (Paris, France)

Company

hirify.global is a mobile game publisher specializing in hyper-casual and hybrid-casual games with over one billion downloads.

What you will do

  • Analyze funnels, cohorts, and product metrics (D1/D7/D30 retention, ARPDAU, LTV) across the entire portfolio.
  • Design and analyze A/B tests with statistical rigor, including power analysis and multiple comparison correction.
  • Develop and productionize predictive models for LTV, churn, player segmentation, and anomaly detection.
  • Build AI agents for automated soft launch analysis and natural-language interfaces to data using MCP and LLM+SQL.
  • Maintain company dashboards in Looker and contribute to the evolution of the data stack (modeling, quality, orchestration).

Requirements

  • 5+ years of experience in data analytics or data science, specifically within mobile gaming or F2P apps.
  • Expert SQL skills (window functions, query optimization) and production-grade Python (pandas, scikit-learn).
  • Strong foundation in statistics, including hypothesis testing, regression, and causal inference.
  • Proven track record of using data analysis to drive concrete product decisions and impact.
  • Experience building AI systems in production such as RAG, text-to-SQL, or LLM pipelines.
  • Fluent English proficiency is required.
  • Must be based in or able to work hybridly from the Paris office.

Nice to have

  • Experience with ML models running in production at scale with monitoring.
  • Detailed knowledge of F2P economy (ad waterfalls, mediation, IAP, pricing).
  • Applied causal inference experience (uplift modeling, synthetic control).
  • Experience building MCP servers or internal automation tools.

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