Nexon America is looking to solve critical business problems in the game business through data-driven insights and advanced machine learning algorithms to improve player experience, retention, and monetization.
Requirements
- 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 exploration and analysis skills
- Experience working with unstructured data (e.g., text, logs, JSON, images)
- Expertise in evaluating, automating, deploying, and monitoring models in production systems
- Strong skills in statistical methods (e.g. hypothesis testing, time series modeling)
- Strong SQL skills and strong Python skills; familiarity with Jupyter Notebook
- Familiar with modern data platforms, and cloud systems (e.g. Snowflake, AWS)
Responsibilities
- 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.
Other
- 5+ years of proven professional working experience as a Data Scientist or related field (Advanced degrees may substitute for part of the required experience.)
- BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field)
- We offer medical, dental and vision plans for you, your spouse or domestic partner and your children.
- Company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents
- 401(k) savings plan with a company match
