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Moloco

Applied Scientist II - Moloco Commerce Media

LocationSeoul - Office, Seoul, Korea
Work modeon-site
Typefull-time
DepartmentMCM Quality
Company size1,001–5,000 people
First seen1mo ago
Last seen4d ago
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for “machine learning company”—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube’s monetization engine and key search advertising technologies, we’re transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
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.
Here’s what you’ll be working on:
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Work with other applied scientists, software engineers, and data scientists to evaluate the health, efficiency, and performance of MCM’s core marketplace advertising systems.
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Conduct deep, unbiased analyses on large-scale data to identify inefficiencies, explain performance changes, and uncover root causes across system, model, data, and market changes.
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Design, implement, and evaluate algorithms, metrics, and analytical frameworks that improve bidding, pacing, pricing, ranking, and experimentation outcomes.
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Support the launch and ramp of new features by defining success metrics, guiding A/B tests, interpreting results, and making data-driven recommendations.
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Collaborate closely with Product, Engineering, ML, Data Science, and business stakeholders to translate ambiguous commerce media problems into clear analytical plans and practical solutions.
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Learn from senior peers how to identify high-leverage opportunities across the MCM system and proactively suggest meaningful next steps for your projects.
Basic Qualifications
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MS or Ph.D. degree in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
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4+ years of industry or postgraduate experience in applied science, data science, machine learning, experimentation, optimization, or a related analytical field.
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Strong foundation in statistics, probability, experimentation, causal reasoning, and optimization.
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Proficiency in Python and SQL for large-scale data analysis and problem solving.
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Ability to analyze complex multi-causal systems, generate hypotheses, evaluate trade-offs, and communicate clear recommendations.
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Proficient verbal and written English communication skills, with the ability to contribute to presentations, reports, and cross-functional discussions with global stakeholders.
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Quick understanding of new information and demonstrated ability to learn technical concepts across engineering, machine learning, and data science.
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Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company.
Moloco Thrive: Benefits and Well-Being:
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.
Moloco Values:
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Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
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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.
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Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
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Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
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Moloco Company Blog
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Moloco Leadership
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Moloco Newsroom
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what’s being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
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