Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In Helsinki, Finland: Data Scientist"), this listing's salary midpoint is about 5% lower. The offer still falls within the benchmark range (€3,180–€9,000). The listed pay band (€5,000–€6,550) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 20 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Scientist | €3,550/per month | €5,954/per month | €8,777/per month |
| In Helsinki, Finland: Data Scientist | €3,180/per month | €5,775/per month | €9,000/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €5,000/per month | €5,775/per month | €6,550/per month |
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.
Job Details
Responsibilities
- Developing predictive and statistical models for user acquisition.
- Solving problems involving forecasting, uncertainty, optimization, and rare events.
- Exploring new modeling approaches and translating research into production.
- Collaborating with stakeholders to solve business problems.
- Owning models throughout their lifecycle.
- Contributing to a collaborative modeling culture.
Requirements
- Extensive years of experience in data science.
- Academic degree in applied mathematics, statistics, machine learning, computer science, or related field.
- Proficiency in Python, including numerical and data science libraries, and designing data pipelines in cloud environments.
- Strong understanding of Bayesian modeling, Statistical inference, Predictive modeling, Optimization, Uncertainty quantification, Numerical methods.
- Ability to communicate complex technical concepts to both technical and non-technical teammates.
- Enjoyment of collaborative problem-solving.
Skills & Technologies
Education Level
No degree required
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