5 дней назад
Data Scientist (Gamedev)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Gamedev) (Python/SQL/Machine Learning): Analyzing large-scale player data and deploying machine learning models to improve revenue across live simulation and racing games with an accent on feature engineering, experimental design, causal inference, and A/B testing. Focus on building end-to-end prediction pipelines, presenting actionable insights to non-technical stakeholders, and driving measurable improvements in game performance.
Location: Barcelona, Spain. Work model: Hybrid.
Company
develops and operates live video games across multiple global studios.
What you will do
- Analyze large-scale in-game player data using Python and SQL to produce actionable insights.
- Perform feature engineering on data warehouse datasets and manage analytical code with Git.
- Prototype and improve machine learning models and prediction pipelines.
- Apply experimental design, causal inference, and A/B testing to improve performance baselines.
- Present findings and recommendations to non-technical stakeholders across game teams.
- Collaborate with Data Analysts, Data Engineers, and local game teams across global studios.
Requirements
- Experience working with Python and SQL for large-scale data analysis.
- Knowledge of machine learning model development and prediction pipelines.
- Experience with feature engineering, experimental design, causal inference, or A/B testing.
- Ability to communicate analytical findings and recommendations to non-technical stakeholders.
- Availability to work in a hybrid model from the Barcelona office.
Culture & Benefits
- Permanent employment contract.
- Collaboration with international teams across Barcelona, Paris, Montreal, Sofia, Bucharest, and other studios.
- Opportunity to work on life-simulation and racing games and influence game performance and business results.
- Career progression toward more senior roles and increasingly complex projects.
Hiring process
- Initial interview to discuss background and role alignment.
- Case study followed by a technical interview focused on the solution and methodology.
- Final interview covering experience, vision, and broader approaches to data topics.
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