Data Scientist

Overview

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.

• 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 Fin Accel to the next level.

• Minimum 2 years of relevant work experience.
• Masters, PhD 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, Postgre
  
  SQL) and No-SQL platforms (i.e. S3).
• Experience with alternate data to evaluate credit risk.
• Experience in building end-to-end Deep Learning and/or NLP models.