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Machine Learning and Causal Inference, Data Scientist

Position Summary Sony is trying to have direct touch point with more than 1 billion users through DTC (Direct To Customer) services. We, data analytics and machine learning team, is responsible for research and development of technologies to acquire customers, increase fan engagement, utilize user behavior data for such services. Causal inference technologies will play an important role for both of end users and service providers in DTC services, from entertainment to healthcare, for personalized user experience, marketing optimization, and so on.
In this job posting, we are looking for researchers who have high expertise in machine learning, especially causal inference, econometrics or related fields, and can develop and evaluate such algorithms using real data from commercial systems.
Responsibilities * Research and develop machine learning algorithms including causal inference, off-policy evaluation, reinforcement learning. (multi-armed bandit.)
* Design experiment to evaluate machine learning algorithms in real world application with business units.
* Design and develop prototype applications with development partners.
* Work closely with business units like entertainment and financial domain in Sony group.
* Publish research papers about these activities.
Required qualifications * Master degree in computer science, artificial intelligence, machine learning, statistics, econometrics or related fields.
* 2+ years experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
* Experience with one or more of the following: Causal inference, off-policy evaluation, multi-armed bandit problem, or similar.
* Ability to speak and write in English fluently.
Preferred qualifications * Advanced degree in computer science, artificial intelligence, machine learning, econometrics, or a related technical field.
* Publishing research papers to top-tier conferences like NeurIPS, ICLR, ICML, KDD, WSDM, RecSys or similar.
* Experience of applying machine learning to real world problems in commercial services.
* Experience of handling both research and development.
* Having Kaggle expert/master/grandmaster.
Product, Service Online services. (entertainment, financial, etc.)
Development Environment OS : Windows/Linux/Mac.
Essay Required
Coding Test Required
Location Tokyo, Japan
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