Job Openings
Data Scientist - Gaming
About the job Data Scientist - Gaming
A rapidly expanding mobile gaming company delivering high-quality entertainment to a massive global audience. Based in a major tech hub in central Israel, our studio brings together a team of passionate developers, designers, and industry experts.
We are at the forefront of creating immersive gaming experiences that deeply engage players. As we continue to push the boundaries of the industry, we are poised to shape the future of interactive entertainment and redefine the market standards.
The Role
- Build and deploy data science models that integrate directly into our production systems.
- Drive business decisions and boost KPIs across different departments using advanced analytical tools.
- Track and enhance model performance through ongoing testing and experimentation.
- Solve complex data challenges involving dynamics, causality, clustering, optimization, and online learning.
- Partner with cross-functional teams, including Game Economy, Development, and Marketing, to design and execute data-led solutions.
- Translate technical findings and innovations into clear insights for non-technical stakeholders.
- Keep current with the latest trends and breakthroughs in Data Science and Machine Learning.
Requirements
- 5+ years of professional experience in Data Science or Machine Learning.
- Hands-on experience with Neural Networks and Deep Learning is essential.
- Proven experience working with Time Series data
- BSc degree in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, Mathematics, or similar).
- Strong coding skills in Python and familiarity with version control.
- Proficiency in SQL for data querying.
- Solid background in statistical modeling, machine learning, and data analysis.
- Great communication skills with the ability to simplify complex data concepts.
- Creative thinker with strong problem-solving capabilities.
- Previous experience in the Gaming industry or working with game-related data - an advantage.