Data Scientist
At a glance
Mid-level 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, working with analysts and machine learning engineers
- Prototype models for use cases such as credit scoring and recommendation engines
- Investigate ways to improve models using the data available to your team
- Take models from the first concept through implementation of the finished product
What you bring
- At least two years of relevant work experience
- A quantitative degree or equivalent background, such as computer science, mathematics or another listed field
- Ability to build predictive models end to end with current machine learning methods
- Proficiency in Python or R, plus familiarity with relational databases and another listed data platform
- Strong English communication skills
Who this fits
This mid-level role suits someone with quantitative skills and an understanding of business who can own work from early ideas through implementation. You’ll collaborate with analysts and machine learning engineers.
From the employer
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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.