The Impact You'll Be Contributing to Moloco: The Moloco Ads Data Science team is a core part of the R&D team on our core demand side platform (DSP) product. As aSenior Staff Data Scientist, you will partner with various data science, engineering and business leaders throughout the organization to drive high quality quality analysis and insights to drive our product and business vision. This is a hands-on role with the opportunity to mentor and eventually lead data scientists.
The Opportunity: Conducting deep-dive analysis or experimentation to influence R&D decisions and strategies: analyzing large datasets, developing and conducting experiments and identifying actionable insights that enable us to improve Moloco's complex ML and bidding system to drive performance for customers. Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component. How Do I Know if the Role is Right For Me? Experience in a tech lead role, responsible for elevating the quality of work across a data science organization. Strong communication with a technical background – this is a highly collaborative role, central to many functions here at Moloco. 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. 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. 10+ years of work experience (industry or postgraduate) in data science related fields. 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). People management experience is a plus.
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