Senior Data Scientist

Join PlayStation as a Senior Data Scientist, where you will drive the development of advanced modeling and analytical approaches that influence high-stakes commercial and portfolio decisions. You will work closely with stakeholders across Finance, Strategy, and Platform, tackling complex and ambiguous problems with a high degree of autonomy. Your success will be measured by the quality of your work, adoption, and impact on business outcomes. You will design and deliver advanced modeling approaches, measure incremental effects, build optimization models, and mentor other data scientists. Strong technical expertise, commercial judgment, and exceptional communication skills are required.

• Conduire le développement de modèles avancés et d'approches analytiques pour influencer les décisions commerciales.
• Collaborer avec les parties prenantes pour résoudre des problèmes complexes et souvent ambigus, en utilisant des données pour informer la stratégie.
• Posséder la définition du problème et l'approche, et mesurer le succès non seulement par la qualité du travail, mais par l'adoption et l'impact sur les résultats commerciaux.
• Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly
• Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption
• Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning
• Strong grounding in causal inference and impact measurement, with the judgement to critically assess assumptions, recognise when correlation is not enough and select approaches that are proportionate to the problem being solved
• Exceptional stakeholder management and communication skills, with a track record of influencing commercial or finance partners and communicating results persuasively to both technical and non-technical audiences
• Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem; experience with PySpark or equivalent distributed data processing tools
• A strong quantitative background, typically a Master's or PhD in operations research, machine learning, statistics, economics, or a related field
• Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions
• Background in gaming, e-commerce, or subscription-based businesses
• Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems
• Industry experience with experimentation frameworks and causal inference
• Expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data
• Experience working in agile, fast-paced environments