Salary
$140k – $180k per year
Location
Hybrid (El Segundo, United States)
Seniority
Senior
Employment
Full-Time
First seen by Alion on Nov 11, 2026. Nexon scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Nexon is a Japanese video game company and global leader in multiplayer online games, with live operation, development and publishing. It recruits infrastructure and corporate engineers and game artists such as 2D designers and 3D riggers for subculture games. The company is headquartered in Tokyo, Japan.
Nexon America is seeking a Senior Data Scientist to support its game business through data-driven insights and advanced machine learning. The role develops and deploys models to address business problems and improve player experience, retention, and monetization, while translating player behavior into insights for stakeholders.
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
- Lead the improvement of the team’s process
- Other duties as assigned
Skills
- 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)
- 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
- 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 strong initiative
- 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)
- MS/PhD Preferred
- Professional large language models and MLOps experience is a plus
- Online gaming experience is a BIG PLUS!
Benefits
- Flexible hours
- Hybrid work model; currently working in the office 2–3 times a week
- Food trucks
- Happy hours
- Team events
- Medical, dental and vision plans for you, your spouse or domestic partner and your children
- For employees enrolled in the high deductible health plan: an annual employer contribution to a health savings account and company-paid hospital indemnity benefits
- Company-paid life, AD&D, short-term and long-term disability benefits
- Access to voluntary life and AD&D for yourself and your dependents
- Flexible spending accounts
- A 401(k) savings plan with a company match
- Pet insurance
- Monthly wellness credit
- Lunchtime yoga
- Language classes
- Bi-monthly catered lunches
- Monthly happy hours
- A well-stocked snack bar
- Paid time off
- Sick days
- Company holidays
- A year-end break
- May be eligible for additional discretionary bonuses/incentives
Company Overview
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