Senior Data Scientist

About Nexon

Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like Maple Story and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach.

We achieve that goal by applying our team’s outstanding free-to-play expertise and live game support to every decision, every day.

But we’re committed to more than our games! Here at Nexon America, we’re all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events.

It’s why we’ve earned the Great Place to Work certification for 5 years running!

We’re looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge?

Nexon America is looking for a talented Sr. Data Scientist to help Nexon’s game business through data-driven insights and solve critical business problems by developing advanced machine learning algorithms. The Sr. Data Scientist is passionate about games, analytics, and applying advanced data science techniques to improve player experience, retention, and monetization. The Sr. Data Scientist collaborates with our Data teams, Business teams, Security team, and other stakeholders to implement data science models into live production systems.

The Sr. Data Scientist brings fresh perspectives to inform decision-making toward better player experience by translating player voice into insights.

We are currently working in the office 2-3x a week in a hybrid work model.

• Apply your expertise in quantitative analysis, data visualization and data mining to tell the story behind numbers and find relevant insights for partners and leadership
• Build and evaluate the ML models and statistical methods to provide Insight & Recommendation and solve the business problems
• Establish scalable, automated processes for large scale data extraction, model development, model validation, model deployment, and its monitoring
• Research and develop state-of-the‑art machine learning, data mining, statistical modeling solutions, and language models to understand game business and key business behaviors, such as player acquisition, retention, and monetization
• Maintain clear and comprehensive documentation of the models and analysis results, and present the results to the stakeholders clearly and effectively
• Work closely with other data scientists, data analysts, data engineers, and other stakeholders to understand project requirements, provide valuable insights, and advanced solutions.
• Mentor other engineers and scientists and contribute to their growth by providing guidance and advice.
• Lead the improvement of the team’s process.
• Other duties as assigned

• 5+ years of proven professional working experience as a Data Scientist or related filed

• BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field)

• Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc.
• Experience managing advanced analytics projects which solve complex analytical problems using data mining technologies
• Expertise in evaluating, automating, deploying, and monitoring models in production systems
• A true passion for understanding customer behavior on-platform and in-game
• Expert analytical and problem-solving skills, plus the ability to innovate and work with…