Barcelona, Spain
Live, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
You will collaborate with game developers, data analysts, product managers, and game operations teams to translate data into meaningful insights and practical improvements.
Develop, test, and improve predictive algorithms and artificial intelligence techniques to improve player experiences, engagement, retention, and revenue.
Support A/B testing and experiments by selecting relevant metrics, analysing results, and sharing findings that guide business decisions.
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.
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Aristocrat, jobs usually come down by about day 41.
From 10,564 similar postings that came down, and 11 of Aristocrat’s. Coming down is not always a hire.
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
Complete your application on aristocrat.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 3 other Data Scientist jobs there since August 2026. 3 came down, usually after about 41 days.
If this one keeps the same pace, it may come down around December 18.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Barcelona, Spain
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.