Data Scientist - Product Data (f/m/d) ‧ 80 – 100%

Migros Gruppe; Zürich; Hybrid; CHF 110,000 - 160,000; Full time

Benefits offered by this job

Flexible work from home

Maternity/paternity leave

Employee offers

Holidays

Training opportunities

Initial and continuing vocational/tran

Personal responsibility & freedom

Room for manoeuvre

Job summary

Migros Gruppe is seeking a Data Scientist in Zürich to design, build and operate ML workflows behind our product data. You will work on the product catalog using Python on BigQuery and other GCP services, moving models from notebook to production.

You bring several years of data science experience, strong Python/SQL skills, and hands-on experience with Airflow or Dagster. A data-focused degree is expected.

Qualifications

• Several years of professional experience in data science or ML.
• Strong Python and SQL skills for large table operations.
• Experience with ML workflows and model deployment.
• Experience with cloud data warehouses, ideally GCP.

Responsibilities

• Design, build and run ML workflows for the product catalog.
• Create evaluation sets and validation logic to preempt quality issues.
• Stay updated with emerging ML trends and tools.
• Improve tooling to speed up future workflows.

Skills

Python

SQL

Data science

Machine learning

Education

Bachelor's degree in a data-focused field

Tools

Airflow

Dagster

BigQuery

Job description

In the role as Data Scientist in our team Cyberdyne, you design, build and run the ML workflows behind our product data. If you have ever searched, filtered or compared a product on digitec or galaxus, several of our models helped assemble the data you were looking at. We build in Python on BigQuery and other GCP services, and we own our models from the first notebook to production.

What you move

Designing, building and running ML workflows to build and improve our product catalog

Building evaluation sets and validation logic that catch quality problems before customers do

You stay up-to-date with emerging technologies and industry trends (e.g. latest LLM developments) to continuously enhance our solution

Improving the tooling our team relies on, so the next workflow is quicker to build than the last

What you will bring

Several years of professional experience

In data science or machine learning

Completed degree (university / university of applied science / higher technical college)

In a data-focused field

German (Advantageous)

Mandatory

Strong Python, plus SQL you are comfortable writing against large tables

Mandatory

Hands-on experience with an orchestrator such as Airflow or Dagster

Mandatory

Practical experience running ML Models over large datasets, including prompt design, cost control and validation of the results

Mandatory

Experience with BigQuery or a comparable cloud data warehouse, ideally on GCP

Mandatory

A willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions

Mandatory

Using creativity and initiative to solve problems and achieve goals

Mandatory

The capacity to adapt to ongoing changes in the work environment

The benefits we offer

• Flexible workplace / working from home

• Maternity/paternity leave

• Employee offers

• Holidays

• Individual continuing training

• Initial and continuing vocation training

• Personal responsibility & freedom

• Room to manoeuvre and decision-making

• Values, not empty words

  Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.

• Courageous thinking

  We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.

• Uncomplicated approach

  Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.

• Flexibility and freedom (Office Jobs)

  We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.

• Rapid growth

  With us, growth is a continuous journey. We also support you with EDU Points (CHF 2,000 for employees in Switzerland, EUR 1,600 for employees in Germany, and EUR 700 for our Serbian employees) for your professional development, so there’s no risk of you getting stuck in a rut.

  25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.