The research applied data science problems in our ads systems to improve prediction accuracy, auction strategies, and drive advertiser value;
Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas;
Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights, and identify new opportunities.;
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop an understanding of the ads targeting/auction/delivery.
5+ years of experience working in Big Data, Machine Learning, especially in recommendation areas, ideally in an industry-leading company;
BS, MS, Ph.D. in Statistics, Mathematics, Economics, Computer Science, or other quantitative fields;
Proficiency in programming using Python, Pytorch, SQL, NoSQL,…;
Proficiency in data structures and algorithms, machine learning, reinforcement learning, and deep learning;
Intellectual curiosity, effective communication, and excellent presentation skills;
Familiar with MLOps concept and toolkit is a plus;
Experience in the advertising area is a plus.
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