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Kredivo Group

Senior Data Scientist

Kredivo Group Singapore, Singapore

Financial Services · 1,001-5,000 employees

19 h ago
data-scientist Senior (5-10 yrs) Full-time Singapore
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About the role

You will take full ownership of the end-to-end machine learning lifecycle, from idea generation to product implementation. Responsibilities include prototyping models, researching improvements, and collaborating with analysts and engineers.

What they look for

Machine Learning Python R RDBMS MySQL PostgreSQL S3 Predictive Modeling Data Science Credit Scoring Recommendation Engine Deep Learning NLP Statistics Econometrics Mathematics

Requirements

Candidates must have at least 5 years of relevant experience and a postgraduate degree in a quantitative field. Proficiency in Python or R and experience with RDBMS and No-SQL platforms are required.

Full description

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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