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 (MCM DS) team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a senior 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. 
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. 
• Build the right metrics for product areas and guide ramps 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 (simulation, multi-armed bandits, modeling).

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. 
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• 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 4 years of experience.
• Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).