Senior Data Scientist

Nexon America • El Segundo, CA

1d • Hybrid

About The Position

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.

Requirements

• 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)

Nice To Haves

• Professional large language models and MLOps experience is a plus.
• Online gaming experience is a BIG PLUS!

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

Benefits

• We offer medical, dental and vision plans for you, your spouse or domestic partner and your children.
• Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits.
• We also provide 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, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance.
• Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes.
• We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar.
• To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees