Apply statistical analysis, forecasting, predictive modelling, and simulation to understand player behaviour and business performance.
Support A/B testing and experiments by selecting relevant metrics, analysing results, and sharing findings that guide business decisions.
Create analytical models, simulations, and tools that help teams make informed decisions and find opportunities for improvement.
Prepare, validate, and explore large datasets to uncover trends, patterns, and insights that support business goals.
Work with senior data scientists, Data Engineering, and MLOps teams to develop and integrate analytical models and machine learning solutions into business processes.
Share findings with collaborators, explain key insights and limitations, and offer practical recommendations.
Contribute to a supportive team environment by documenting your work, participating in peer reviews, sharing knowledge, and developing your technical skills.
What We're Looking For
MSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or possessing equivalent experience.
1+ years of professional experience in data science, machine learning, or quantitative analytics, with practical experience delivering analytical or modelling projects.
Strong foundation in statistics, probability, descriptive analysis, and statistical inference.
Practical experience in exploratory data analysis, data preparation, and working with large datasets.
Experience developing and evaluating predictive or machine learning models, including regression, classification, or clustering.
Understanding of statistical modelling, forecasting, and simulation techniques.
Familiarity with hypothesis testing, split testing, and experimental analysis.
Working knowledge of Python for data analysis and modelling, including common libraries such as pandas, NumPy, and scikit-learn.
Ability to write SQL queries to extract, join, transform, and aggregate data.
Basic understanding of software development practices, including version control, testing, and documentation.
Experience using AI assistants to support coding, analysis, and other professional tasks, with appropriate validation of outputs.
If you’re passionate about demonstrating data science to create exceptional gaming experiences and are ready to lead data products to success, we want to hear from you. Join Product Madness and contribute to the evolution of mobile gaming!
This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.
Compensation Philosophy
We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.
Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.
Specific details about compensation and benefits for this position will be discussed during the recruitment process.
