Data Scientist

To drive success in this role, you will have experience ideating growth initiatives and deploying algorithms to address real-time product recommendation and pricing use cases. As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application. Regular collaboration with internal product growth teams and external partners will be key in ensuring revenue growth metrics are achieved.

Use internal data to formulate and test hypotheses relating to various aspects of business performance.
Design and implement algorithms to optimize yield, with a special focus on Contextual Bandits for product recommendation and pricing.
Develop use cases using Large Language Models and multimodal AI tools, including fine-tuning of internal models and model evaluation.
Identify opportunities to continuously improve systems and processes.
Research and closely follow emerging trends in applied AI and associated software

4+ years practical, hands-on experience with various Machine Learning and statistical testing techniques.
Master's or PhD in Physics, Statistics, Mathematics, Computer Science, or other Quantitative fields.
Familiarity with contextual bandits and revenue management methodologies
Hands on experience with deep learning models
Comfortable working in a DevOps environment with a basic understanding of the principles