Data Scientist
Core
Data Scientist using data analysis, forecasting, and predictive modelling to understand player behaviour, improve gaming experiences, and drive retention and revenue for mobile games.
Role type
mid-level IC data scientist (gaming analytics)
Builds
predictive algorithms, AI techniques, analytical models, simulations, and tools for player engagement and business decisions
Domain
mobile gaming industry + data science / machine learning
Deliverable
production ML models
Required skills
statistics, probability, statistical inference, exploratory data analysis, predictive modelling, regression, classification, clustering, hypothesis testing, A/B testing, Python (pandas, NumPy, scikit-learn), SQL, software development practices, AI assistants
Preferred skills
MSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics, or related quantitative field
Technologies
Python, pandas, NumPy, scikit-learn, SQL
Responsibilities
Develop and evaluate predictive or machine learning models; Apply statistical analysis and simulation to understand player behaviour; Support A/B testing and experiments; Prepare, validate, and explore large datasets; Collaborate with game developers, data analysts, and product managers; Document work and participate in peer reviews
Seniority
Junior to Mid-level, hands-on IC
