At Product Madness, we create mobile games that bring entertainment to players around the world. Data plays an important role in understanding player needs, improving gaming experiences, and making informed business decisions.
Join our collaborative team, where your ideas and expertise will help us explore new opportunities, solve meaningful challenges, and shape the future of mobile gaming.
The Role
As a Data Scientist at Product Madness, you will use data analysis, forecasting, and predictive modelling to better understand player behaviour, solve business challenges, and improve gaming experiences.
You will contribute to projects dedicated to player involvement, retention, and revenue. You will also help develop analytical tools and machine learning solutions that support informed decisions and create more personalised experiences for our players.
Working with a variety of datasets, you will take ownership of clearly defined analytical and modelling tasks while learning from experienced data scientists on more complex projects. You will collaborate with game developers, data analysts, product managers, and game operations teams to translate data into meaningful insights and practical improvements.
What You'll Do
- Explore business challenges, develop hypotheses, choose suitable analytical methods, and deliver data-driven solutions with support from experienced colleagues when needed.
- Develop, test, and improve predictive algorithms and artificial intelligence techniques to improve player experiences, engagement, retention, and revenue.
- 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.
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.
Skills Required
- MSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience
- 1+ years of professional experience in data science, machine learning, or quantitative analytics
- Practical experience delivering analytical or modeling projects
- Strong foundation in statistics, probability, descriptive analysis, and statistical inference
- Experience with exploratory data analysis, data preparation, and large datasets
- Experience developing and evaluating predictive or machine learning models, including regression, classification, or clustering
- Understanding of statistical modeling, forecasting, and simulation techniques
- Familiarity with hypothesis testing, split testing, and experimental analysis
- Working knowledge of Python, including 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 for coding, analysis, and professional tasks with appropriate output validation
Aristocrat Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aristocrat and has not been reviewed or approved by Aristocrat.
-
Healthcare Strength — Healthcare coverage is described as robust, with medical, dental, and vision options that are frequently highlighted alongside wellness resources. Feedback suggests these benefits are a core strength of the package.
-
Retirement Support — A 401(k) with employer matching is commonly noted, with match levels reported around 4–5% depending on plan or period. This is seen as a solid foundation for long-term savings.
-
Parental & Family Support — Paid parental leave plus adoption and surrogacy assistance are referenced as part of the offering. These benefits contribute to a family-friendly reputation.
Aristocrat Insights
What We Do
Aristocrat Leisure Limited is an ASX20 listed company and one of the world’s leading providers of gaming solutions. We’re licensed in over 300 jurisdictions and operate in over 90 countries around the world. We’re also proud to have a team of over 6500 employees that deliver outstanding results by pushing the boundaries of innovation, creativity and technology each day. We offer a diverse range of products and services including electronic gaming machines, social gaming and casino management systems, but it doesn’t stop there. Despite our global presence and exponential growth, we remain an ideas company at heart that is committed to delivering outstanding results for our customers and players and an unparalleled experience for our employees, who have the opportunity to grow, be inspired and be the best they can be. Our values of Talent Unleashed, All About the Player, Collective Brilliance and Good Business, Good Citizen guide and inspire us to live our mission of bringing joy to life through the power of play – every day. Come and join us – let’s play!
Why Work With Us
Individually we’re great, but together we’re brilliant. Our employees are the beating heart of our business and we attract the best people in the industry thanks to our unique and inspiring culture. Come and join the team and help bring joy to life through the power of play.
Gallery
