Product Madness builds mobile games enjoyed by players across the globe. We use data, technology, and creativity to develop engaging gaming experiences and make informed business decisions.
Our teams work together to tackle problems, share ideas, and improve our games. Join us and contribute to the development of mobile gaming experiences.
The Role
In the role of a Lead Data Scientist, you will conduct statistical analysis, predictive modelling, and machine learning. You will understand player behaviour, tackle business problems, and improve gaming experiences.
You will handle machine learning initiatives from initial planning through development, evaluation, and implementation. Working with large datasets, you will develop models and analytical tools that support gameplay, player engagement, retention, and monetisation.
You will work closely with game developers, data analysts, product managers, and game operations teams. You will share findings, recommend improvements, and help teams use data to make decisions.
What You'll Do
- Coordinate data science projects: Define business problems, develop hypotheses, select analytical methods, build solutions, and measure results.
- Develop predictive algorithms: Build, train, test, and improve models that support personalisation, player engagement, retention, and monetisation.
- Apply statistical methods: Use statistical analysis, forecasting, simulation, optimisation, and causal inference to answer business questions.
- Design and evaluate experiments: Plan and analyse A/B tests, select metrics, resolve sample sizes, and interpret results.
- Build analytical tools: Develop reusable models, simulations, and tools that help teams make informed decisions.
- Maintain data quality: Prepare and validate datasets, investigate data issues, assess model assumptions, and ensure consistent results.
- Support production solutions: Work with Data Engineering, MLOps, and Game Technology teams to integrate models and analytical solutions into existing systems.
- Share findings and recommendations: Explain analytical results, assumptions, and limitations to collaborators and recommend practical next steps.
- Support team development: Participate in peer reviews, document approaches, share knowledge, and provide guidance to colleagues.
What We're Looking For
- A degree or equivalent experience concentrating on data analysis, Computer Science, Statistics, Mathematics, Physics, or a related field, demonstrating passion for the subjects.
- At least 3 years working in data science, with experience delivering analytical or machine learning projects.
- Knowledge of statistics, probability, and data analysis.
- Ability to develop, build, assess, and evaluate predictive and machine learning models.
- Experience with A/B testing, experimental design, hypothesis testing, and causal inference methods.
- Ability to apply forecasting, simulation, or optimisation techniques to business challenges.
- Skills in Python and SQL for data analysis, modelling, and handling extensive data collections.
- Knowledge of software development practices, including version control, testing, and documentation.
- Familiarity with AI tools and generative AI applications.
- Understanding of machine learning deployment and monitoring, including collaboration with engineering teams.
- Experience in mobile gaming, digital entertainment, or other consumer-focused products.
- Knowledge of recommender systems, reinforcement learning, Bayesian modelling, stochastic simulation, or time-series forecasting.
- Experience building analytical tools or applications for business teams.
- Familiarity with cloud platforms such as GCP, AWS, or Azure, and machine learning development environments.
At Product Madness, you will have the opportunity to apply your data science skills to products used by players around the world. You will work with colleagues across different teams, contribute to product decisions, and develop solutions which improve gaming experiences.
We welcome applications from people with different backgrounds and experiences. If your skills align with the role, we encourage you to apply.
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
- Degree or equivalent experience in data analysis, Computer Science, Statistics, Mathematics, Physics, or a related field
- At least 3 years of data science experience delivering analytical or machine learning projects
- Knowledge of statistics, probability, and data analysis
- Ability to develop, build, assess, and evaluate predictive and machine learning models
- Experience with A/B testing, experimental design, hypothesis testing, and causal inference
- Experience applying forecasting, simulation, or optimization techniques to business challenges
- Proficiency in Python and SQL for data analysis, modeling, and large datasets
- Knowledge of software development practices, including version control, testing, and documentation
- Familiarity with AI tools and generative AI applications
- Understanding of machine learning deployment and monitoring
- Experience in mobile gaming, digital entertainment, or consumer-focused products
- Knowledge of recommender systems, reinforcement learning, Bayesian modeling, stochastic simulation, or time-series forecasting
- Experience building analytical tools or applications for business teams
- Familiarity with GCP, AWS, Azure, and machine learning development environments
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.
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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.
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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.
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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.
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