Principal Data Scientist
1 day ago
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 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 FinAccel to the next level.
About you:
- Minimum 6-7 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
Good to have:
- Experience with alternate data to evaluate credit risk, deep risk domain expertise, building credit risk modelling (4-5years).
- Experience in building end-to-end Deep Learning and/or NLP models.
- Experience working in financial institutions/services
Tell employers what skills you have
Machine Learning
Credit Risk Management
Scala
PostgreSQL
Natural Language Processing
Mathematics
Artificial Intelligence
MySQL
Data Engineering
SQL
Python
Econometrics
Communication Skills
Statistics
Data Science
Visualization
Credit Risk
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