Description

You join our Analytics & Data Science team for Marketing, working alongside a second Data Scientist, Data Analysts, the Marketing Tech team and the Marketing business teams. You step in wherever the team needs you, with machine learning and data analysis as the equally weighted core. Your work shapes how customers discover our products on Google Shopping, price-comparison sites, and beyond.

What you will bring ###

Atleast 2+ Years ####

In Data Science (if specifically in the field of marketing, 1+ years)

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

In Data Science, Computer Science, Statistics, or a related field

German (Fluent) ####

English (Fluent) ####

Mandatory

Strong Python skills and experience with machine-learning libraries such as PyTorch, scikit-learn, and XGBoost

Mandatory

Solid grounding in statistics and experimental design (e.g. A/B tests, causal inference): you are equally adept at building a model and carrying out an advanced ad-hoc analysis

Mandatory

Experience deploying and operating ML models in production with tools such as Docker, Kubernetes, Airflow, or Dagster, including monitoring and alerting

Mandatory

Experience with large datasets and advanced SQL (e.g. BigQuery), and comfortable building and owning data pipelines with a transformation framework (e.g. Dataform, dbt) that feed reliable feature stores and data products

Mandatory

Strong communication skills and a proactive, self-directed way of working. You thrive in a team, working closely with product and cross-functional colleagues, and convey your results clearly and concisely to different stakeholder groups

Advantageous

Marketing know-how and hands-on web tracking experience (Google Tag Manager) are a strong plus

Mandatory

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

Mandatory

Maintaining resilience and agility while adjusting strategies as needed