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Senior Data Scientist
Rovio Entertainment CorporationSenior Data Scientist at Rovio, part of SEGA family, developing predictive models for User Acquisition decisions in gaming.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop predictive and statistical models that support large-scale User Acquisition decisions
- Tackle challenging problems involving long-term forecasting, uncertainty quantification, optimization, and rare-event behaviour
- Explore and evaluate new modelling approaches and translate research ideas into production systems
- Collaborate closely with stakeholders across Rovio to solve high-impact business problems
- Take ownership of models throughout their lifecycle, from problem formulation and experimentation to deployment and monitoring
- Contribute to a highly collaborative modelling culture
Requirements
What you’ll need- Extensive years of experience in data science
- Academic degree in applied mathematics, statistics, machine learning, computer science, or a related field
- Proficient in Python, including numerical and data science libraries
- Strong understanding of Bayesian modeling, Statistical inference, Predictive modelling and machine learning, Optimization and decision theory, Uncertainty quantification, Numerical methods
- Ability to communicate complex technical concepts to technical and non-technical teammates
- Enjoyment of collaborative problem-solving and working closely with other experts
Benefits
Comp & perks- Reasonable accommodations for qualified individuals with disabilities or conditions in our working environment
- Continuous improvement in workplace accessibility
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencepredictive modelingstatistical modelingBayesian modelingstatistical inferencemachine learningoptimizationdecision theoryuncertainty quantificationnumerical methods
Soft Skills
collaborative problem-solvingcommunicationstakeholder collaborationownershipexperimentation