Principal Data Scientist
Product Madness
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning,
bandits/reinforcement
learning, and forecasting. Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., GCP, AWS, or Azure). Experience in gaming or digital entertainment is a strong plus.
With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. Travel Expectations Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Compétences linguistiques
- English
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