Rovio
Beacon / Central
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Rovio. Skills: Data science, Predictive modeling, Machine learning, Optimization. Develop predictive models. Develop statistical models”
What You'll Achieve.
Support large-scale User Acquisition decisions
Industry & Context.
Tackling challenging problems; Collaborative problem-solving
What They're Looking For.
Must Have
Extensive years of experience in data science, Academic degree in applied mathematics, statistics, machine learning, computer science, or a related field, Proficient in Python, Designed data pipelines in cloud-based environments, 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, Communicate complex technical concepts to both technical and non-technical teammates
Nice to Have
Experience in mobile gaming, Experience in User Acquisition, Experience in digital advertising, Experience with experimentation, Experience with causal inference, Experience with reinforcement learning, Experience building large-scale production ML systems
What You'll Do.
Develop predictive models
Develop statistical models
Tackle challenging problems
Explore modelling approaches
Evaluate modelling approaches
Translate research ideas into production systems
Collaborate with stakeholders
Solve business problems
Take ownership of models
Experiment with models
Contribute to modelling culture
Scope problems together
Workshop ideas openly
Collaborate with team
How You'll Work.
Team & Collaboration
Stakeholders across Rovio; UA managers; Game teams; Finance; Analysts; Engineers; Fellow data scientists; Technical teammates; Non-technical teammates; Other experts
Communication Scope
Communicate complex technical concepts
Full Job Description
## Description 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 will have impact and fun at work by 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. ## Experience and skills we are looking for 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. ## It would be nice if you also have the following skills Experience in mobile gaming, User
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