Data Scientist - Marketing (f/​m/​d)

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.

Key information

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

What you move

Main task

Turn business challenges into data-driven insight by understanding the real business question, digging into performance data to find the root cause, and translating it into clear, actionable recommendations for technical and non-technical audiences

Main task

Build robust machine-learning solutions in close collaboration with the product team and run them in production on our platform, raising the performance of our Marketing channels

Main task

Own your data products end to end, from spotting the opportunity through prototype and build to running them in operation. You care about the whole Marketing product, not just your model

Main task

Validate improvements by defining success metrics and analytical frameworks, and running experiments with the product team and Marketing business teams (e.g. A/B tests, causal inference, incrementality testing)

Main task

Work with web tracking and attribution data to build features, close measurement gaps, and sharpen our understanding of the customer journey

Main task

Shape our data-science practice together with the Senior Data Scientist and the wider Data Science Guild

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

The benefits we offer

Flexible working hours

Flexible workplace / working from home

Maternity/paternity leave

Mobile phone subscription

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.

More Benefits Switzerland

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

Application and contact details

Patrick Meise

People Attraction & Active Sourcing Specialist

Information for recruitment agencies

Only direct applications will be considered for this position.