Senior Data Scientist
At a glance
Senior Data Science role at Kredivo Group. Jakarta · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn ideas and discoveries into machine learning models, carrying the work through to implementation
- Build prototypes for models focused on credit risk and growth
- Explore ways to improve models using the available data
- Work with analysts and machine learning engineers across a team spanning countries
What you bring
- More than five years of relevant work, including three to four years building credit risk models
- Deep knowledge of risk, with strong skills in statistics and mathematics
- A master's, doctorate or equivalent experience in a quantitative discipline
- Ability to build end-to-end predictive models and proficiency in Python or R
- Strong English communication skills and experience working independently
Who this fits
This senior role suits someone who can take a model from an initial idea through implementation while working with analysts and machine learning engineers. You’ll collaborate with colleagues across countries.
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 role:
- Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models.
- Prototyping diverse machine learning models, from credit risk to growth related models.
- 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 of building 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.
- NON NEGOTIABLE - Deep risk domain expertise, building credit risk modelling (3-4yrs)
- Independent and good communication skills
- Strong in statistics and math
- Good to have: Experience working in finance institute
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