Lead Data Scientist
Current• Analyze game performance metrics to identify opportunities for improving player retention, monetization strategies, and overall game balance. • Collaborate with designers and product managers to evaluate feature impact, set performance benchmarks, and provide actionable recommendations throughout development and live service cycles. • Develop predictive models to forecast key metrics like LTV, churn, and player segmentation for strategic planning. • Design and execute A/B tests to assess feature effectiveness and guide game development with data-driven insights. • Partner with data engineers to optimize data pipelines and create dashboards that enable stakeholders to access and interpret game data efficiently.