Our client is a leading Fintech startup with high social vision to help the underserved. They have made it possible for individuals nationwide to have accessibility to financial products.
- Gather, manage and scrub data collected from various analytic platforms and sources, write own SQL queries and build quantitative analysis.
- Define problems and hypotheses, develop recommendations, and analyze large amounts of data to discover insights for solving the problems, leading to better business performance.
- Collaborate with fellow Data Scientists, Data Engineers and other Business Units to design and deploy data drive solutions with high business value.
- Implement continuous improvement to predictive accuracy of models, monitor its performance in production systems.
- Apply best practices in data-driven decision processes through statistical theorems.
- Min. 3 years of experience in data science, machine learning engineering, modelling, statistics and quantitative analysis.
- Excellent understanding of machine learning algorithms in Python libraries and not limited to Scikitlearn, Pandas, Keras, Xgboost, Catboost, Tensorflow.
- Proficiency in relational SQL databases
- Great understanding of linear algebra, multivariate calculus and applied statistics skills, such as distributions, statistical testing, regression, etc.
- Solid analytical and problem solving skills, with high curiosity and growth mindset
- Preferably Bachelor or Master's degree in mathematics, computer science, statistics, engineering or similar advanced degree