Marketing Data Scientist: Build ML to boost growth (Remote)

Galaxus; Zürich; Hybrid; CHF 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Working from home options

Workation up to 8 weeks

80% workload possible

EDU Points for development

Hackathons and events

25 days of holiday

Employee shop discounts

Zusammenfassung

Galaxus, Switzerland's leading e-commerce platform, seeks a Data Scientist to join the Analytics & Data Science team in Marketing. You will work with a tight-knit group on machine learning and data analysis that shapes how customers discover products and compare prices.

You will implement end-to-end data products and run experiments with cross-functional teams. Required MSc in a quantitative field, strong Python and ML libraries, production ML experience, and fluency in English with good German.

Qualifikationen

• Graduate with an MSc in a quantitative field and relevant experience.
• Strong Python, ML libraries, and model deployment skills.
• Experience with production ML, SQL (BigQuery) and data pipelines.
• Excellent communication; fluent English and good German (B2).

Aufgaben

• Turn business challenges into data-driven insights and recommendations.
• Build and productionize robust ML solutions for Marketing.
• Own data products end-to-end from discovery to operation.
• Define success metrics and run experiments (A/B tests, causal inference).
• Work with web tracking and attribution data to sharpen customer journey.
• Shape data-science practices with the team.

Kenntnisse

Python

PyTorch

scikit-learn

XGBoost

Statistics

Experiment design

ML deployment

Docker

Kubernetes

Airflow

Dagster

BigQuery

Data pipelines

Communication

Marketing know-how

Google Tag Manager

German (B2)

English

Ausbildung

MSc in Data Science

MSc in Computer Science

MSc in Statistics

Tools

Dataform

dbt

Google Tag Manager

BigQuery

Jobbeschreibung

Galaxus, Switzerland's leading e-commerce platform, seeks a Data Scientist to join the Analytics & Data Science team in Marketing. You will work with a tight-knit group on machine learning and data analysis that shapes how customers discover products and compare prices.

You will implement end-to-end data products and run experiments with cross-functional teams. Required MSc in a quantitative field, strong Python and ML libraries, production ML experience, and fluency in English with good German.