Senior Data Scientist

Rovio; Helsinki; On-site; EUR 50,000 - 70,000; Full time

Job summary

Rovio is seeking a Data Scientist to join our Data Science and Analytics team in Espoo. You will develop predictive models to support User Acquisition decisions and collaborate with various teams to solve impactful business problems.

The ideal candidate will have extensive experience in data science, a degree in a relevant field, and proficiency in Python. The role offers a hybrid work setup with a focus on collaboration and innovation.

Qualifications

• Extensive experience in data science.
• Strong understanding of Bayesian modeling, statistical inference, and machine learning.
• Ability to communicate complex concepts clearly.

Responsibilities

• Develop predictive and statistical models for User Acquisition decisions.
• Explore and evaluate new modeling approaches.
• Collaborate with stakeholders to solve business problems.

Skills

Data science experience

Python proficiency

Collaborative problem-solving

Education

Degree in applied mathematics, statistics, machine learning, or related field

Tools

Cloud-based data pipeline design

Job description

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.

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 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 [e-mail].