Lead Data Scientist - Player Analytics & ML (Gaming)

Aristocrat Leisure Ltd.; Barcelona; On-site; EUR 70,000 - 110,000; Full time

Job summary

Aristocrat Leisure Ltd. is seeking a Lead Data Scientist to drive statistical analyses, predictive modelling, and machine learning across large gameplay datasets.

You will define business problems, develop hypotheses, and build scalable models to improve player engagement, retention, and monetisation. You will collaborate with game developers, data analysts, product managers, and operations to deploy models, run experiments, and translate insights into actionable recommendations that guide

Qualifications

• A degree or equivalent experience concentrating on data analysis, Computer Science, Statistics, Mathematics, Physics, or a related field.
• 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.

Responsibilities

• 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.

Skills

Python

SQL

Statistics

Experiment design

A/B testing

Forecasting

Causal inference

Data visualization

Education

Degree in a relevant field (Data Science, CS, Statistics, Math)

Tools

Git

Docker

MLOps

GCP

AWS

Azure

Job description

Aristocrat Leisure Ltd. is seeking a Lead Data Scientist to drive statistical analyses, predictive modelling, and machine learning across large gameplay datasets.

You will define business problems, develop hypotheses, and build scalable models to improve player engagement, retention, and monetisation. You will collaborate with game developers, data analysts, product managers, and operations to deploy models, run experiments, and translate insights into actionable recommendations that guide