Job Description

  • 8+ years of relevant professional experience working as a data scientist.

  • A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications.

  • Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression) and expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting).

  • Experience using and integrating generative AI models and platforms, agentic solutions, and context engineering techniques.

  • Experience with programming languages (Python, R, SQL) and AI/ML platforms (e.g. Databricks, and cloud platforms (e.g. Azure Synapse, AWS SageMaker, Google Cloud Vertex AI).

  • Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy,...

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