Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Kredivo Group's job description. Free.

Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Kredivo Group's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Kredivo Group — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Kredivo Group — free, in seconds.
About the Role
As a Data Scientist, you will be part of a team working on cutting-edge machine learning models. You will collaborate with Analysts and Machine Learning Engineers, taking full ownership from idea generation to final product implementation. The ideal candidate is result-focused, innovative, possesses a solid quantitative background, and has a good business understanding.
Responsibilities
- Turn discoveries and ideas into machine learning models within a multi-disciplined team.
- Prototype diverse machine learning models, including credit scoring and recommendation engines.
- Conduct research and development to improve models using extensive and unique data sets.
- Contribute to advancing Data Science at Kredivo Group.
Requirements
- Minimum 2 years of relevant work experience.
- Graduated from or equivalent experience in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
- Ability to build robust end-to-end predictive models using the 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.
- Experience with alternate data to evaluate credit risk (optional).
- Experience in building end-to-end Deep Learning and/or NLP models (optional).
Skills
- Machine Learning
- Python
- R
- RDBMS
- No-SQL
- Deep Learning
- NLP
Experience Level
- Minimum 2 years of relevant work experience
Education Level
- Degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence) or equivalent experience