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Aristocrat logo

Data Scientist

Aristocrat
Posted 23 hours ago
🇪🇸Spain🏢Hybrid📁Data & Analytics
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Join Aristocrat as a Data Scientist and help us build world-class mobile gaming experiences! This role offers an outstanding opportunity to be at the forefront of driving player acquisition strategies using innovative data science techniques. At Aristocrat, we cultivate an inclusive and collaborative culture, where innovation and excellence are celebrated. What You'll Do Apply machine learning, statistical modelling, and causal inference to large-scale behavioural data to understand user behaviour, predict outcomes, and improve user experiences. Build, validate, and iterate on models designed to personalise individual user experiences. Translate ambiguous product, UX, and business challenges into clear data science problems, modelling approaches, evaluation criteria, and actionable recommendations. Identify high-impact opportunities where data science can reduce user friction, uncover unmet needs, and improve user and business outcomes. Partner with Product, Engineering, Analytics, and business stakeholders to scope high-impact data science opportunities and influence product direction. Collaborate with Analytics and Engineering teams to ensure reliable data foundations, high-quality features, and scalable model development workflows. Communicate modelling approaches, assumptions, trade-offs, limitations, and outcomes clearly to technical and non-technical collaborators. What We're Looking For Degree in Mathematics, Statistics, Economics, Computer Science, or a similar quantitative field, or equivalent experience. Professional data science experience, with a consistent track record of delivering end-to-end data or ML projects. Practical experience applying analytical techniques to address real business challenges, ideally in a marketing, growth, or digital environment. Experience in gaming or digital entertainment is a strong plus. Proficiency in Python and SQL. Experience building forecasting and time-series models. Familiarity with causal inference methods (e.g. diff-in-diff, regression discontinuity, uplift modelling). Knowledge of statistical analysis and experimentation (A/B testing, significance testing). Experience with data visualization tools and communicating analytical results clearly. Pragmatic approach to problem-solving, favoring practical solutions. Comfortable working with ambiguity and switching context as business priorities evolve. Curious and proactive, with a deep understanding of problems before jumping to solutions. If you’re passionate about using data science to build outstanding gaming experiences and are ready to lead data products to success, we want to hear from you. Join Aristocrat and help develop the future of mobile gaming! Why Product Madness ? As 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 creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. 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. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. 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.

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