Product Data Scientist: ML & BigQuery on GCP

Digitec Galaxus AG; Zürich; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Working from home options

Up to 8 weeks workation

80% workload option

25 days holiday

Job summary

Digitec Galaxus AG in Zürich is seeking a Data Scientist to design, build and run ML workflows behind our product data in the Cyberdyne team. If you have shipped models powering product search and catalog features, you will contribute to production-grade data pipelines and experiments.

You will work with BigQuery / GCP, Airflow or Dagster, and collaborate across product and engineering teams. Fluent English is required; Zurich location offers flexibility and 80% workload options.

Qualifications

• Several years of professional experience in data science or ML with a data-focused degree (ETH/UNI/FH).
• Strong SQL skills; comfortable querying large tables.
• Hands-on experience with an orchestrator such as Airflow or Dagster.
• Practical experience running ML models over large datasets, including prompt design, cost control and validation.

Responsibilities

• Design, build and run ML workflows to build and improve our product catalog.
• Build evaluation sets and validation logic to catch quality problems before customers do.
• Stay up-to-date with emerging technologies and industry trends to enhance our solution.
• Improve the tooling our team relies on so the next workflow is quicker to build than the last.

Skills

Data science

SQL

Fluent English

Education

Higher education in data field (ETH/UNI/FH)

Tools

Airflow

Dagster

BigQuery

Google Cloud (GCP)

Job description

Digitec Galaxus AG in Zürich is seeking a Data Scientist to design, build and run ML workflows behind our product data in the Cyberdyne team. If you have shipped models powering product search and catalog features, you will contribute to production-grade data pipelines and experiments.

You will work with BigQuery / GCP, Airflow or Dagster, and collaborate across product and engineering teams. Fluent English is required; Zurich location offers flexibility and 80% workload options.