Senior Applied Scientist (시니어 응용 과학자)

• Leading research projects, possibly with a small team of applied scientists, as part of a group of cross-functional collaborators to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. • Collaborate with your team to identify areas for infrastructure and machine learning component improvements by analyzing internal system changes, external changes, and data changes. • Lead your project and contribute directly to deep, unbiased analysis, always driving to the actual root causes of issues. • Participate in the design, implementation, and evaluation of new algorithms and features in collaboration with Software Engineers and Machine Learning Engineers.

• Ph.D. degree in Computer Science, Mathematics, or a related field, or industry experience in optimizing market prices or ML systems. • 4+ years of work experience (industry or postgraduate) in research-related fields or an advanced degree such as a Master’s or PhD in a quantitative discipline with 2+ years of experience. • 2+ years of experience leading research projects, preferably as part of groups that include data scientists, machine learning engineers, and software engineers. • Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups. • Quick understanding of new information and the demonstrated ability to learn new technical skills 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 • Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies. • Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

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