AddressEducation - PhD
Responsibilities :
- Experiment with state-of-the-art deep learning architectures to improve customer models for downstream tasks such as credit scoring, fraud, marketing, etc.
- Develop strong relationships with Rakuten functional areas to identify best practices, solicit input/data, coordinate interdisciplinary initiatives, and gather support for recommendations.
- Areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.
Qualifications - Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- 12+ years of industry experience in predictive modelling, recommender systems.
- Solid understanding of foundational statistics concepts and ML and deep learning algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
- Previous experience, preferably in product company, in building DL models
- Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
- Experience handling terabyte size
