The Impact You'll Be Contributing to Moloco: Moloco Commerce Media (MCM) enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. We've established our MCM's product market fit with strong interest in our product. MCM is an important product that is key to Moloco's continued success and is in a high growth phase. The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Assenior data scientist in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. What You'll Do: Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. Build the right metrics for product areas and drive business collaboration with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing. Improve ML models through better data quality and insights: validate and quantify the efficiency and performance gain from hypotheses with advanced statistical methods. Basic Qualifications: Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth Excellent verbal and written communication skills, with ability to present information and analysis results effectively. Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr). Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company. 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master's or PhD in a quantitative discipline with 2+ years of experience. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) Demonstrated leadership and self-direction Willingness to both teach others and learn new techniques Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance
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