Junior Data Scientist Operations

4 weken geleden

Zaandam, Noord-Holland, Nederland Albert Heijn Voltijd
About the Role

We are seeking a talented Junior Machine Learning Engineer to join our Operations Analytics and Data Science team at Albert Heijn. As a key member of our team, you will play a crucial role in developing and deploying machine learning solutions that drive business growth and improve customer experience.

Key Responsibilities
  • Design and implement machine learning models to solve complex business problems
  • Collaborate with cross-functional teams to deploy and continually improve machine learning models
  • Support the team in following software engineering and MLOps best practices
  • Continually improve your coding and machine learning skills through training and mentorship
Requirements
  • MSc in Computer Science, Artificial Intelligence, Data Science, or related discipline
  • Strong programming skills in Python and experience with machine learning libraries
  • Knowledge of data engineering concepts and experience with data pipelines
  • Familiarity with version control and continuous integration and delivery
  • Knowledge of machine learning and statistics concepts
What We Offer
  • Competitive salary and bonus
  • 25.5 vacation days and flexible working hours
  • Access to best-in-class training and development opportunities
  • Opportunity to work on challenging projects and contribute to business growth
Grow with Us

At Albert Heijn, we believe in growing and developing our employees. We offer a range of training and development opportunities to help you grow your skills and career. Our Data Talent Track is a one-and-a-half-year program that provides soft and hard skill training to help you develop your professional skills.

Want to learn more about our company culture and values? Follow this link: https://blog.ah.technology/

Apply Now

Do you want to play an active role in changing the food retail landscape? Apply now and join our team. We ask you to formulate an answer to the following questions: Why do you think you will be successful in this position and what kind of technical skills do you bring with you for this role? What is one of your personal strengths and one skill you wish to improve or develop?

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