Senior Data Scientist, Gaming Analytics (Hybrid)

Nexon America; El Segundo (CA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Wellness credit

Team lunches

Job summary

Nexon America is seeking a Sr. Data Scientist to drive data-driven insights for game business, focusing on retention, monetization, and player experience. You will translate data into actionable recommendations and collaborate with data, business, security, and engineering teams.

The role supports a hybrid schedule (office 2–3 days per week) in El Segundo, CA, with strong emphasis on production-ready ML solutions and stakeholder communication.

Qualifications

• 5+ years of professional experience as a Data Scientist or related field.
• BS in quantitative discipline is required; MS/PhD preferred for advanced roles.
• Experience with unstructured data and deploying models to production.

Responsibilities

• Apply quantitative analysis, data visualization, and data mining to tell the story behind numbers for partners and leadership.
• Build and evaluate ML models to provide insights and recommendations for business problems.
• Establish scalable processes for data extraction, model development, validation, deployment, and monitoring.
• Research state-of-the-art ML and data science solutions to understand game business metrics like acquisition, retention, and monetization.
• Document models and analyses clearly and present results to stakeholders.
• Collaborate with data scientists, analysts, engineers, and stakeholders to define requirements and deliver advanced solutions.
• Mentor teammates and contribute to team process improvements.
• Other duties as assigned.

Skills

SQL

Python

Jupyter Notebook

Data analysis

Machine learning

Education

BS in quantitative discipline

MS/PhD preferred

Tools

Snowflake

AWS

Job description

Nexon America is seeking a Sr. Data Scientist to drive data-driven insights for game business, focusing on retention, monetization, and player experience. You will translate data into actionable recommendations and collaborate with data, business, security, and engineering teams.

The role supports a hybrid schedule (office 2–3 days per week) in El Segundo, CA, with strong emphasis on production-ready ML solutions and stakeholder communication.