Senior Data Scientist
At a glance
Senior Data Science role at Kredivo Group. Singapore · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn discoveries and early ideas into machine learning models, owning the work through implementation
- Prototype models for credit scoring, recommendations and other applications
- Investigate ways to improve models using the available data
- Work with analysts and machine learning engineers to develop predictive products
What you bring
- More than five years of relevant professional experience
- A master’s, doctorate or equivalent background in a quantitative discipline
- Ability to build end-to-end predictive models with current machine learning methods
- Proficiency in Python or R
Who this fits
This senior role suits someone with strong quantitative skills and business understanding who can carry model work from concept through delivery. You’ll work alongside analysts and machine learning engineers.
From the 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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