Senior Data Scientist
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What you'll do
- 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 Kredivo to the next level.
What they're looking for
- 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 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.
Nice to have
- Experience with alternate data to evaluate credit risk.
- Experience in building end-to-end Deep Learning and/or NLP models.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
As a Senior 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 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 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.
Bonus points (optional) for:
- Experience with alternate data to evaluate credit risk.
- Experience in building end-to-end Deep Learning and/or NLP models.
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Company
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