Analyzing large and complex datasets related to player behavior, game performance, and in-game economies to identify trends, patterns, and opportunities.
Building predictive models and machine learning algorithms to optimize player engagement, retention, and monetization.
Creating informative and visually appealing reports and dashboards to communicate findings to stakeholders.
Collaborating with product and marketing teams to provide data-driven insights for game design, feature development, and marketing campaigns.
Staying up-to-date with industry trends and research to incorporate innovative data science techniques and best practices into our processes.
Requirements & Skills:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Proficiency in programming languages such as SQL and Python.
Proven experience in data analysis, machine learning, and statistical modeling.
Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
Strong problem-solving skills and a curious mindset.
Being eager to work in a startup environment and passion for games.
