Responsibilities
Analyze and interpret large datasets to address business and technical challenges in the gaming industry through advanced analytics, machine learning, and predictive modeling. 2. Generate actionable insights and present findings to stakeholders to support strategic decision-making. 3. Explore and apply cutting-edge techniques in data science, machine learning, and generative AI to innovate gaming experiences. 4. Contribute to technical documentation, knowledge sharing, and cross-team collaboration to foster a culture of learning and innovation. Work Location: Netherlands-Amsterdam
Requirements
Currently pursuing a Master’s, or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline. 2. Familiarity with statistical methods (e.g., hypothesis testing, regression analysis, time series analysis, and experimental design). 3. Hands-on experience with data analysis, machine learning, or building data products on large datasets is a plus. 4. Proficient in programming languages such as Python or R, and experience with SQL for data querying and manipulation. 5. Strong communication skills, with the ability to collaborate effectively in a team environment and translate technical concepts into business insights. 6. A passion for gaming and a desire to contribute to the evolution of the gaming industry. What You’ll Gain: 1. Hands-on experience working on real-world data science challenges in a dynamic and innovative gaming environment. 2. Mentorship from experienced data scientists and opportunities to learn advanced techniques in machine learning, AI, and analytics. 3. Exposure to cross-functional collaboration and the chance to make a tangible impact on gaming products and strategies.
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