Vie hiiri rivin päälle tai napauta riviä nähdäksesi täydelliset tilastot (EUR / kk tässä kaaviossa).
Palkka-analyysi
Palkkatarjous sijoittuu vertailutasoon "Markkinoiden keskiarvo: Keskitaso-taso" nähden: palkkahaarukan keskipiste on noin 30 % vertailutason alapuolella. Kokonaisuutena tarjous on kuitenkin edelleen markkinahaarukan (€5 133–€11 459) sisällä. Tarjottu palkkaväli (€5 000–€6 550) on markkinaa kapeampi, mikä viittaa pienempään vaihteluun. Vertailu perustuu 3 vastaavaan ilmoitukseen.
| Markkinat | Alaraja (25. persentiili) | Mediaani | Yläraja (75. persentiili) |
|---|---|---|---|
| Markkinoiden keskiarvo: Data Scientist | €3 550/kuukaudessa | €5 954/kuukaudessa | €8 777/kuukaudessa |
| Tietojemme mukainen palkka — ei mainittu ilmoituksessa (Keskitaso) | €5 000/kuukaudessa | €5 775/kuukaudessa | €6 550/kuukaudessa |
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.
Työn tiedot
Vastuualueet
- 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.
Vaatimukset
- 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.
Taidot ja teknologiat
Koulutustaso
Ei koulutusta vaadita
Aiheeseen liittyvät mahdollisuudet
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