Kredivo Group
Data Scientist
Data Scientist at Kredivo Group (a fintech lending company) in Singapore, owning machine-learning work end to end — from idea to production — prototyping models such as credit scoring and recommendation engines. Core stack: Python or R, SQL/NoSQL data stores, with optional deep learning and NLP.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Minimum 2 years of relevant work experience
- Degree in a quantitative field (Computer Science, Mathematics, Statistics, Econometrics, Engineering, AI) or equivalent experience
- Able to build robust end-to-end predictive models using latest Machine Learning techniques and methodologies
- Proficiency in Python or R
- Exposure to RDBMS (e.g. MySQL, PostgreSQL) and No-SQL platforms (e.g. S3)
- Excellent English communication skills
Nice to have
- Experience with alternate data to evaluate credit risk
- Experience building end-to-end Deep Learning and/or NLP models
Full 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 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 Group to the next level.
About you:
- Minimum 2 years of relevant work experience.
- Graduated from the major of 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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