Jobs in Seoul, South Korea

About the role

The Applied Science team in MCM(Moloco Commerce Media) focuses on improving the performance, efficiency, and reliability of Moloco Commerce Media’s marketplace advertising systems, working closely with software engineers, machine learning engineers, data scientists, and product partners. As an Applied Scientist II, you will contribute as an individual contributor on research and optimization projects in a complex, multi-causal environment. You will help identify inefficiencies, analyze trade-offs, and propose practical solutions across core MCM systems such as bidding, pacing, pricing, ranking, experimentation, and launch decisions. Your work will contribute to better advertiser outcomes, retailer monetization, and system stability by driving rigorous analyses, improving decision-making frameworks, debugging production issues, and developing a deep end-to-end understanding of MCM’s product and infrastructure. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.

What you'll bring

• MS or Ph.D. degree in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
• 4+ years of industry or postgraduate experience in applied science, data science, machine learning, experimentation, optimization, or a related analytical field.
• Strong foundation in statistics, probability, experimentation, causal reasoning, and optimization.
• Proficiency in Python and SQL for large-scale data analysis and problem solving.
• Ability to analyze complex multi-causal systems, generate hypotheses, evaluate trade-offs, and communicate clear recommendations.
• Proficient verbal and written English communication skills, with the ability to contribute to presentations, reports, and cross-functional discussions with global stakeholders.
• Quick understanding of new information and demonstrated ability to learn technical concepts across engineering, machine learning, and data science.
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company.
• We take care of you and create the conditions for you to do the best work of your career.
• Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.