Senior Data Scientist

November 6, 2026

Senior

Barcelona, Spain

Indeed

Description

A Senior Data Scientist role focused on mobile games enjoyed by players across the globe. The work spans statistical analysis, predictive modelling, and machine learning across the full lifecycle, from defining business problems through development, evaluation, and implementation. The role partners with game developers, data analysts, product managers, and game operations teams to improve gameplay, player engagement, retention, and monetisation.

Responsibilities

Conduct statistical analysis, predictive modelling, and machine learning to improve gaming experiences
Coordinate data science projects from defining business problems to measuring results
Develop predictive algorithms for personalisation, player engagement, retention, and monetisation
Apply statistical analysis, forecasting, simulation, optimisation, and causal inference to business questions
Design and evaluate A/B tests, select metrics, resolve sample sizes, and interpret results
Build reusable models, simulations, and analytical tools for informed decision making
Prepare and validate datasets, investigate data issues, and ensure consistent results
Support production solutions with Data Engineering, MLOps, and Game Technology teams
Explain analytical results and limitations to collaborators and recommend practical next steps
Participate in peer reviews, document approaches, share knowledge, and guide colleagues

Requirements

A degree or equivalent experience in data analysis, Computer Science, Statistics, Mathematics, or Physics
At least 3 years working in data science 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

Conditions

Full-time employment
Paid time off as part of the benefits package
Annual bonuses and incentives depending on role and location
Health and wellbeing benefits, retirement plans, and insurance coverage
Compensation package determined by skills, experience, qualifications, and location