Purchasing Data Scientist Opportunity

Vor 6 Tagen


Zürich, Zürich, Schweiz Digitec Galaxus AG Vollzeit

Company Overview

Digtec Galaxus AG is a leading e-commerce company, dedicated to providing innovative and customer-centric solutions. Our mission is to make a positive impact on our customers' lives by delivering exceptional products and services.

Job Description

We are seeking a highly skilled Purchasing Data Scientist to join our team. As a key member of our data team, you will play a crucial role in developing machine learning models that drive business decisions. Your expertise will be essential in optimizing purchasing and inventory systems, ensuring seamless operations and improved customer satisfaction.

Main Responsibilities:

  • Design and implement machine learning models to predict product demand, supplier selection, and inventory management.
  • Analyze complex data sets to identify trends and opportunities for process improvement.
  • Collaborate with cross-functional teams to integrate data-driven insights into business decision-making.
  • Develop and maintain production-ready software solutions using Python and relevant libraries.

Requirements and Qualifications

To succeed in this role, you will need:

  • A completed degree in a relevant field, such as computer science, mathematics, or statistics.
  • Experience in a similar role, preferably with a focus on machine learning and data science.
  • Advanced coding skills in Python, including proficiency in libraries like scikit-learn, TensorFlow, and PyTorch.
  • Familiarity with supply chain management, retail, or cloud services (especially GCP) is a plus.

Benefits

As a valued member of our team, you can expect:

  • A competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • A dynamic and supportive work environment.

What We Offer

In addition to the above benefits, we offer a collaborative and inclusive work environment, where your ideas and contributions are valued and recognized. If you're passionate about data science and eager to make a meaningful impact, we encourage you to apply.



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