Develop and implement ML models to enhance payment performance.
- •Checkout.com is looking for a Data Scientist to join our team, focused on discovering, designing, and experimenting with new models and features to boost payment performance.
- •Key Responsibilities Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance.
- •Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation.
- •Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks.
- •Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products.
- •Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences.
- •Requirements 3+ years of experience developing machine learning models to solve business problems.
- •Strong understanding of supervised ML algorithms, tuning, and performance evaluation.
- •Experience with a range of feature engineering techniques (e.g. target encoding).
- •Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.
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