Senior Data Scientist/Machine Learning Engineer

For this ambition we are looking for a Data Scientist with a focus on Machine Learning Engineering

This role is part of the data & analytics team which consists of Data Engineering, Tracking & Measurement, Data Science and Data Analysis. The teams goal is to enable and lead data driven decision making throughout the organization. You will work on projects for various domains such as marketing team, customer loyalty, technology, commerce and more.

Your main responsibilities:

You develop developing, implement, deploy, and optimize machine learning models and systems. And you will work on varying data science projects delivering value to various businesses domains and supporting organization to become more data driven.

Model Development, deployment and integration/optimization:

  • Develop machine learning models to address business use cases. For example: modeling customer behavior, model the value of customer service interventions, forecasting models, recommender systems to increase customer engagement, or modeling and measurement marketing channels.
  • Bring models into production and work on Improving the deployment of existing ML projects
  • Manage data and data quality together with data engineering
  • Optimize and test existing models, improving performance and preventing drift.
  • Work with (backend) developers to enhance our ML infrastructure.

Data Science projects:

You make an impact by working on Data Science projects together with varying departments such as marketing team, customer loyalty, supply chain, technology, commerce and more. Supporting data driven decision making and solving business challenges by using advanced analytics and machine learning models. This gives the role a lot of flexibility and learning opportunities

Other responsibilities:

  • You are a key driver of leveraging all the potential in the data science area;
  • You proactively address strategic issues;
  • You manage Data Science implementations/projects;
  • You see opportunities to build new Data Science solutions and implement them to create business value;
  • You think beyond the use case and consider how to set up data products generically so they can be used broadly within the organization.
  • Collaborate with data team members to optimize data collection, integration, and storage
  • You work together with backend developers

How you complete our team

We would like to meet data science professionals with a passion for data who would like to have responsibility in the further growth of a data driven mindset in our organization. You are someone with experience in Data Science or Machine learning engineering and eager to further develop in this field. The ideal candidate possesses:

  • At least 3 years of experience preferably in a retail or ecommerce environment;
  • Master’s Degree in a relevant field
  • Extensive experience with SQL & Python;
  • Hands-on experience in building ML models and deploying them to production
  • Good stakeholder management and communication skills;
  • Able to pragmatically turn customer data opportunities into relevant use cases.
  • Experience with Google Big Query, Airflow, Docker & Kubernetes is a plus;
  • Knowledge of API design, DevOps and CI/CD and NoSQL solution are a plus

What we have to offer

Bijenkorf offers excellent, market-based primary employment conditions, complemented by a comprehensive package of fringe benefits. In addition, we offer a variety of development and advancement opportunities.

  • 30 vacation days;
  • Salary between €4,000 and €5,200 gross per month, depending on your experience;
  • Performance bonus and profit sharing;
  • Favorable pension plan;
  • A discount card giving colleagues an attractive 20% discount on purchases at Bijenkorf;
  • A personal vitality budget of €500; 

Application procedure

Working at the Bijenkorf service office

Working at the Bijenkorf corporate office offers a captivating and dynamic experience in the world of retail and luxury. The corporate office is the pulsating core behind the scenes, where strategy, planning, and support converge to elevate the in-store experience to the highest level.

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