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Data Scientist

As a Data Scientist at NCSOFT, you’ll be responsible for helping our company navigate the vast oceans of data our games produce. We’re looking for an experienced analyst with a burning curiosity about our players and our games, someone who can go deep to find answers and bring back actionable insights. The ideal candidate is equally passionate about data and improving the player experience. Prior experience owning analytics for a AAA game is highly preferred.

WHAT YOU’LL DO

• Works collaboratively with leadership, design, producers, data analysts, and data scientists, to develop and present data that will provide actionable insights into our games to improve the acquisition, engagement, and monetization of our audience
• Manages the workload and priorities of an analytics team
• Works to develop and grow the technical and soft skills of their team members
• Collaborates with operations, finance and studio leadership to help make business critical decisions and recommendations
• Prepare and present reports and analyses to design and production stakeholders
• Being actively engaged in our games and develops a deep understanding of game mechanics including gameplay and economy
• Create and maintain accurate and comprehensible data visualizations and dashboards
• Conduct ad hoc data analysis based on current teams’ needs and management priorities

WHAT YOU’LL NEED TO BE SUCCESSFUL

• BA or BS in statistics, business, analytics, data science or related field – PhD or MBA a plus
• A passion for games and the gaming industry
• 3-5+ years hands-on experience as a data analyst or business analyst
• Experience leading small teams a plus
• SQL, Excel and Tableau proficiency, including experience querying and visualizing large, complex data sets
• Strong quantitative skills, and experience utilizing scientific analytic methods, qualitative methods, and quantitative analysis techniques, as well as predictive modeling
• Ability to effectively communicate with people at various levels of business and technical expertise, including the ability to simplify difficult technical concepts
• Team player and self-starter with the ability to liaise with multiple teams and stakeholder