Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
About the role
- Senior Applied Scientist researching and implementing Generative AI solutions at Xero. Collaborating with teams across North America to enhance customer interactions through AI.
Responsibilities
- Researching and implementing Generative AI solutions using the latest LLM APIs.
- Developing hybrid machine learning approaches merging Generative AI with classical techniques for better accuracy.
- Designing and deploying scalable machine learning systems to solve real-world product problems.
- Building data pipelines and wrangling complex datasets to support AI-driven features.
Requirements
- Solid foundation in machine learning theory, including probability, linear algebra, and calculus.
- Background in applying machine learning techniques like NLP or computer vision to practical product challenges.
- Strong software engineering fundamentals and ability to write maintainable, testable code in Python or Scala.
- Ability to translate complex business problems into clear machine learning formulations.
- Enjoyment in collaborating across functions and explaining technical concepts to teammates with different backgrounds.
- Thriving in ambiguous environments, helping to turn loosely defined ideas into actionable research directions.
Benefits
- Flexible working arrangements
- Collaboration across functions
- Professional development opportunities
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