Senior Product Analyst / Data Scientist (Gamedev)
Мэтч & Сопровод
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Описание вакансии
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
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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