Senior Data Scientist, Investing Data Science

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Requirements:

• Excellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
• Strong understanding of statistics: both frequentist and Bayesian approaches
• Strong understanding of fundamental machine-learning algorithms: regression and decision trees

Responsibilities:

• Analyze user behaviour to understand how clients interact with the product
• Develop and implement experiments to evaluate new features and product changes
• Apply causal inference methods in non-experimental settings
• Use machine learning algorithms to segment users and personalize product experiences
• Develop and maintain core data models and pipelines to ensure data quality and accessibility