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About the Role
Checkout.com is seeking a Data Scientist to design, experiment with, and implement new estimators, models, and features to optimize payment performance. You will collaborate with cross-functional teams to enhance core offerings, protect customer lifetime value, and ensure robust model observability.
Responsibilities
- Research and develop ML models and estimators to improve Acceptance Rate performance.
- Design and implement experiments to generate actionable insights while managing data leakage and ensuring robust evaluation.
- Collaborate with Data Scientists and engineers to productionize ML features and models.
- Evolve evaluation and monitoring frameworks.
- Write high-quality, interpretable Python code for feature engineering and model training.
- Communicate hypotheses, results, and monitoring dashboards to technical and non-technical stakeholders.
Requirements
- 3+ years of experience developing machine learning models for business problems.
- Strong understanding of supervised ML algorithms, tuning, and performance evaluation.
- Experience with diverse feature engineering techniques such as target encoding.
- Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.
- Experience writing clean, production-grade Python code for model training and inference.
- Interest in leveraging LLMs for coding support and process optimization.
Skills
- Machine Learning
- Python
- Supervised Learning
- Feature Engineering
- Frequentist Statistics
- Bayesian Statistics
- Model Evaluation
- Data Transformation
- Recommender Systems
- Contextual Bandits
- Unix Shell
- Databricks
- Docker
- GCP
- AWS
Work Type
- Hybrid
- Three days per week in the office
Experience Level
- 3+ years
About the Company
- Global fintech company powering digital payments for major brands like eBay, Spotify, Klarna, Uber, and Sony.
- Enables over 10 billion transactions annually for more than one billion global shoppers.
- Headquartered in London with 20 offices across six continents.
Equal Opportunity
- We welcome applicants of all backgrounds and identities.
- We provide accommodations to make the application process and working environment accessible.