Research Scientist - IT/eCommerce

Education - 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