Data Scientist - Principal
Role details
Job location
Tech stack
Job description
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.* Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions
Requirements
and encourage collaborators.## What We Are Seeking* 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.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* 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., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).* Industry knowledge: Experience in gaming or digital entertainment is a strong plus.Why Product MadnessAs part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who