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Data Science Engineer

vor 1 Woche


PlanlesOuates, Genf, Schweiz Richemont Vollzeit

Richemont, a luxury goods leader, seeks a skilled Data Science Engineer to enhance its distribution performance tracking. This role is perfect for an organized individual with excellent analytical skills and experience in managing complex data products.

The ideal candidate will have a solid background in statistics, machine learning, and cloud-based environments (e.g., Google Cloud Platform). They should be proficient in SQL, Python, and key data processing libraries. Experience with Git, Terraform, and ML libraries is a plus.

This position involves designing, orchestrating, and optimizing data pipelines to generate high-quality business performance and network data products. The successful candidate will also develop and deploy efficient and scalable data models tailored to different business requirements and constraints.

Key Responsibilities:

  • Design, orchestrate, and optimize data pipelines to generate high-quality business performance and network data products.
  • Develop and deploy efficient and scalable data models tailored to different business requirements and constraints.
  • Evaluate and improve the performance of ML models and analytics solutions.

Requirements:

  • Master's Degree in Data Science, Statistics, Computer Science, or an equivalent quantitative field.
  • At least 4 years of experience in engineering and data science, preferably in the luxury retail industry.
  • Extensive knowledge of SQL, Python, and key data processing libraries.
  • Experience with Git, Terraform, and ML libraries is a plus.