As an applied research scientist with BBM you will be part of a highly empowered team of applied researchers, data scientists, and data engineers that are creating a first class experience for one of the most popular messaging platforms in the world.
The successful candidate should be able to become an expert/leader in an active area of R&D such as spam detection, user preference modeling, behavior modeling, social network analysis, recommendation systems, content classification and/or business decision support. He or she will be hands-on and will create large-scale predictive models (supervised, unsupervised and/or reinforcement) from disparate data sources. He or she will implement and deploy their ideas at scale and in the cloud.
PhD, MS or equivalent experience in machine learning, computer science or related field
Solid understanding of machine learning and statistics
Solid reasoning and communication skills
Experience with multiple statistical modeling techniques such as logistic regression, gradient boosting, random forests, SVMs, bagging, DNNs, etc.
Experience in one or more of NLP, computational linguists, hierarchical and/or multi-label classification, search or information retrieval, graph analysis, optimization, social network analysis and/or recommender systems desirable
Experience with cloud platforms, e.g. GCP, and related tools, e.g. DataProc, AirFlow etc., desirable
Solid coding skills in at least one of Java, scala, python, C, C++ and/or perl
Data wrangling skills: Spark, Hadoop, Hive, Pig etc.
Familiarity with messaging apps and/or advertising models a plus
Must be legally eligible to work in Singapore