Junior Research Scientist

hace 3 días


Barcelona, España Playvalve A tiempo completo

About the Company Playvalve is a vibrant fast-growing gaming studio with an eye on the future. Our mission is to build fun and relaxing games meant to last, and we do that by bringing together a team of experts who love what they do. Our talented designers, artists, engineers, marketeers and analysts have created several games delivering joy and entertainment to over 20M users across more than 12 languages and 90 countries. As a Principal Applied Scientist , you’ll bridge rigorous science with production impact. This is not a pure engineering role, we need someone who thinks like a scientist first : formulating hypotheses, designing experiments with statistical rigor, and building models grounded in solid mathematical foundations . We’re looking for someone who holds an advanced degree in a quantitative field , and has battle-tested their science in production environments . You should be equally comfortable working through the math behind a model as you are debugging production pipelines. Design and analyze controlled experiments (A/B tests, multi-armed bandits) with proper statistical rigor. Apply causal inference techniques to untangle correlation from causation in observational data. Stay current with research literature and bring cutting‑edge methods to production (when appropriate). Partner with Engineering to build real‑time decisioning APIs for game configuration and ad serving. Implement proper monitoring, evaluation frameworks, and fallback mechanisms. Ship models as stable services with clear performance guarantees. Build experimentation infrastructure and champion rigorous hypothesis testing across the org. Work with Product, Marketing, and Ad Monetization to prioritize high‑impact projects. Mentor other data scientists on scientific rigor. Establish standards for model evaluation, code quality, and documentation. PhD or MSc in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, or closely related quantitative field. ~7+ years in data science with 2+ years owning production ML systems. ~ Expert‑level Python and SQL; comfortable writing production‑quality code. ~ Strong grasp of experimentation design and statistical hypothesis testing (power analysis, multiple testing corrections, variance reduction techniques). ~ Demonstrated ability to read, critique, and apply research papers to real‑world problems. Experience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) for deep learning and/or probabilistic programming (e.g., PyMC, Stan, TensorFlow Probability). Proficiency with cloud platforms (GCP, AWS, Azure) for data processing and model serving. Published research in top‑tier venues (NeurIPS, ICML, KDD, JMLR, etc.) or industry conferences. Subscription/SaaS: Churn prediction, upsell optimization, cohort analysis The Role: Own data science solutions from scratch with full autonomy. Based in Barcelona (office with terrace, BBQ, beer tap). Flexibility policy: the data team comes in regularly because they want to, not because they have to. Compensation & Perks: Competitive compensation based on experience, phantom stocks, relocation package, health insurance, ticket restaurant, unlimited vacations, regular company off‑sites. The Challenge: 15 games in market + ambitious pipeline.



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