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Description
We are seeking resourceful and agile data scientists with a passion for solving complex machine learning problems across diverse domains, including recommender systems, reinforcement learning, and natural language processing. Ideal candidates will be well-versed in recent advances in machine learning and comfortable with rapid testing and iteration.
As part of a cross-functional team focused on experimental projects, you will leverage ML/AI, optimization, and unique data assets to develop impactful products and enhance user experiences. This is an exciting opportunity to collaborate with talented researchers and engineers, shaping the future of the travel industry.
Key Responsibilities:
- Develop and implement creative solutions that enhance user experience and improve key business metrics
- Conduct experiments and rapidly prototype innovative ideas using available data and resources
- Create robust, maintainable, and scalable production-ready solutions
- Extract, process, and analyze large datasets to drive successful initiatives
- Collaborate in group problem-solving and effectively communicate results
Qualifications:
- Strong foundation in mathematics, statistics, systems design, and coding to address machine learning challenges; a PhD in a quantitative field (computer science, statistics, mathematics, etc.) is preferred but not mandatory
- Familiarity with core concepts in machine learning and experience applying them to real-world scenarios
- Proficiency in Python machine learning frameworks such as PyTorch or TensorFlow, as well as libraries like pandas and scikit-learn
- Experience in software engineering, both individually and in team settings
- Practical application of ML/AI in solving business problems
- Hands-on knowledge of data engineering principles, including ETLs and large-scale data frameworks
Michael Bailey International is acting as an Employment Agency in relation to this vacancy.
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