As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding.
About the Job: Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data.
Actively contribute to taking Data Science at […] to the next level. About you: Minimum 2 years of relevant work experience. Graduated from the major of or equivalent experience in a quantitative field (i.e).
Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence). Capable to build robust end-to-end predictive models using the latest Machine Learning techniques and methodologies. Proficiency in Python or R.
Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
Excellent English communication skills.
(optional) for: Experience with alternate data to evaluate credit risk. Experience in building end-to-end Deep Learning and/or NLP models. #LI-CT1