As a Principal Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will bring your deep expertise in data analysis and statistical modeling to bear on a variety of challenges and opportunities. 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 Kredivo to the next level.
About you:
- Minimum 6 years work experience in Data Science or similar role.
- Minimum Bachelor's Degree a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, or 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.
- Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences.
Bonus points (optional) for:
- Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics).
- Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).