Key Responsibilities
- Your role will require you to be able to use internal data to formulate and test hypotheses relating to various aspects of business performance.
- You will design and implement algorithms to optimize yield, with a special focus on Contextual Bandits for product recommendation and pricing.
- You will also be responsible for developing use cases using Large Language Models and multimodal AI tools, with emphasis on model evaluation.
- You will identify opportunities to continuously improve systems and processes.
- Research and closely follow emerging trends in applied AI and associated softwareDefine performance metrics and build reports/ data pipelines.
Skills and Experience
- 3+ 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
- Strong SQL skills.
- Comfortable working in a DevOps environment with a basic understanding of the principles (such as DBT).
Proficiencies and Attributes
- Strong problem-solving skills with a focus on product delivery.
- Exceptional communication, able to explain statistical concepts to diverse audiences.
- A quick learner who embraces new challenges and is not hesitant to push boundaries.
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