Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods.
Extending company’s data with third party sources of information when needed.
Processing, cleansing, and verifying the integrity of data used for analysis.
Doing ad-hoc analysis and presenting results in a clear manner.
Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets.
Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units.
Collaborate with data scientists across a variety of businesses to prioritize and promote our machine learning efforts