Rovio is part of the SEGA family and world famous for our flagship IP Angry Birds - want to know more about Rovio as an employer? Click here.
You’ll join our Data Science and Analytics team in Espoo, working on the Beacon platform, and you’ll report to our Data Science Team Manager. We’re looking for someone who loves turning complex data into clear, actionable stories. You’ll help us refine how we approach User Acquisition, crafting solutions that help us grow and keep our players happy.
- Developing predictive and statistical models that support large-scale User Acquisition decisions.
- Tackling challenging problems involving long-term forecasting, uncertainty quantification, optimization, and rare-event behaviour.
- Exploring and evaluating new modelling approaches and translating research ideas into production systems.
- Collaborating closely with stakeholders across Rovio — including UA managers, game teams, finance, analysts, engineers, and fellow data scientists — to solve high-impact business problems.
- Taking ownership of models throughout their lifecycle, from problem formulation and experimentation to deployment and monitoring.
- Contributing to a highly collaborative modelling culture where problems are scoped together, ideas are workshopped openly, and solutions are developed through pair coding, code reviews, and close day-to-day collaboration with the team.
- You have extensive years of experience in data science.
- You hold an academic degree in applied mathematics, statistics, machine learning, computer science, or a related field.
- You’re proficient in Python, including numerical and data science libraries, and you’ve designed data pipelines in cloud-based environments.
- You have a strong understanding of at least two of the following areas: Bayesian modeling, Statistical inference, Predictive modelling and machine learning, Optimization and decision theory, Uncertainty quantification, Numerical methods.
- You can communicate complex technical concepts to both technical and non-technical teammates, making sure everyone is on the same page.
- Enjoyment of collaborative problem-solving and working closely with other experts.
- Experience in mobile gaming, User Acquisition, or digital advertising.
- Experience with experimentation, causal inference, or reinforcement learning.
- Experience building large-scale production ML systems.
You'll work in a hybrid setup with two to three days at the office per week. Kindly send us your CV in English. We look forward to speaking to you!
We welcome applicants to use the name they want to be addressed by in the application form, regardless of whether it is their legal name.
At Rovio, we are also committed to providing reasonable accommodations for qualified individuals with disabilities or conditions in our working environment and job application procedures. We are committed to continuously improving workplace accessibility. If you have any questions before applying, please write to us at recruitment@rovio.com.
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