Paddle

Staff Data Scientist

Paddle

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Lead

Tech Stack

NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Identify and drive new strategic opportunities such as pricing, support automation, and KYB automation through advanced ML models and analytics.
  • Design comprehensive systems including data capture, operational processes, experimentation frameworks, and feedback mechanisms.
  • Lead end-to-end model development and deployment processes, leveraging classical ML methods and LLM based methods based on agentic AI.
  • Collaborate across teams to ensure seamless integration and productionization of solutions that significantly impact business performance.
  • Conduct rigorous experimentation, testing, and validation to optimize model performance and ensure alignment with business objectives.
  • Act as a mentor and technical leader, advocating for best practices in model development and deployment.
  • Continuously monitor and iterate on models in production, maintaining high standards for accuracy and performance.
  • Partner with business units to help evaluate AI solutions and to build systems which generate business impact.
  • Design, develop, and deploy machine learning models into production, ensuring scalability, reliability, and maintainability.

Requirements

  • Proven track record of successfully deploying machine learning models into production environments.
  • Extensive experience with classical ML techniques (boosted trees, neural networks, regressions, clustering, etc.).
  • Demonstrated expertise with agentic AI, prompt engineering, and leveraging Large Language Models (e.g. LangChain / Graph).
  • Proficiency in Python and key data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • You are an industry expert in Model development, deployment and MLOPs practices
  • Strong analytical and problem-solving abilities coupled with sound business judgment.
  • Excellent communication skills, capable of engaging both technical and non-technical stakeholders effectively.