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Senior Data Scientist
Job description
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 role
Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit risk to growth related models. 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 Kredivo to the next level.
About you
Minimum >5 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 of building 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. Bonus points (optional) for: Experience with alternate data to evaluate credit risk. Experience in building end-to-end Deep Learning and/or NLP models. NON NEGOTIABLE
- Deep risk domain expertise, building credit risk modelling (3-4yrs) Independent and good communication skills Strong in statistics and math Good to have: Experience working in finance institute #LI-AL1
Description copied from Kredivo Group's careers page. Read the full posting before you apply.
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