Medior Data Scientist

de Bijenkorf
Amsterdam, Netherlands
1 day ago
Apply on www.werkenbijdebijenkorf.nl
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
€3,943.0
Working hours
Regular working hours

Tech stack

Agile Methodology Airflow Data Analysis BigQuery Continuous Integration Information Engineering Python (Programming Language) Machine Learning Microsoft Office Recommender Systems SQL Databases Google Cloud
+7 more
Cloud Platform System Large Language Models Git Kubernetes Data Analytics Machine Learning Operations Docker

Job description

Stel een job alert in en wij houden je op de hoogte van nieuwe relevante vacatures.

Requirements

  • Proficiency in Python for delivering production-ready code.
  • Proficiency in SQL, experience with dbt is a big plus.
  • While hands-on experience with GCP is a big plus, familiarity with a similar cloud platform is also valuable.

Experience with other aspects of this role are great to have, but can also be learned on the job.

  • Strong knowledge of CI/CD.

Benefits & conditions

  • A gross monthly salary between €3,943 and €5,632 (based on 40 hours);
  • 30 vacation days
  • An annual profit sharing (variable) bonus
  • Vitality budget
  • Contribution towards your pension
  • Hybrid environment
  • A great culture
  • An employee discount on products purchased from de Bijenkorf

About the company

As a Data Scientist, you translate the richness of our customer data into tangible impact across our website, app, online marketing channels, stores, customer service, supply chain, and buying teams. You have the opportunity to improve the shopping experience of millions of customers and build the data products that power better decisions across the entire organization. You will:

  • Ideate and develop Build scalable machine learning products across various domains, working directly with colleagues to explore and shape data-driven solutions.

  • Deploy and own Take models from development to production, owning the full ML ops lifecycle in close collaboration with our tech teams.

  • Experiment and iterate Continuously improve production models, MLOps flows, and contribute to the broader data platform.

We currently have a number of models in production across different business domains. Examples include recommendation systems, sales and returns forecasting, customer segmentation and lifetime value prediction, and marketing budget optimization. In our latest work, we built a recommender system using a LLM and a multimodal model that combines text and image features, allowing us to create more meaningful recommendations. Our work is powered by a modern tech stack including Python, GCP, BigQuery, dbt, git, Argo Workflows, Docker, Kubernetes and Airflow.

About the team

You will join a centralized Data & Analytics team, working closely with data engineers, analysts, and tracking & measurement experts. The team operates Agile, giving you substantial responsibility and the freedom to make impactful decisions from the start. You’ll be based at our Service Office, with flexible remote work options.

The Data & Analytics team supports a diverse range of organizational departments with their data needs, giving you the chance to work with a variety of data sources and use cases.

  • You are able to identify opportunities where data and machine learning can have real business impact.

  • You stay up-to-date with the latest industry trends and you are eager to implement your learnings.

  • You are able to explain your solutions to a non-technical audience

  • Strong communication and collaboration skills to work effectively with cross-functional teams.

Werken op het servicekantoor van de Bijenkorf biedt een boeiende en dynamische ervaring in de wereld van retail en luxe. Het servicekantoor is het kloppende hart achter de schermen, waar strategie, planning en ondersteuning samenkomen om de ervaring in de winkels naar het hoogste niveau te tillen.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.werkenbijdebijenkorf.nl
Prepare application

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