Senior Data Scientist

Senior Data Scientist

• Full-time

Company Description

Welcome to SMG Swiss Marketplace Group AG

We are a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products.

A little bit about us to help ignite your imagination

SMG Swiss Marketplace Group AG came together following the merger of Scout24 Switzerland and TX Markets in 2021. A union which included some of Switzerland’s most well-known leading marketplaces.

Our exciting portfolio currently spans four business areas and includes Real Estate (immoscout24.ch, homegate.ch, ImmoStreet.ch, home.ch, Acheter-Louer.ch, Flatfox, Casasoft), Automotive (autoscout24.ch, motoscout24.ch), General Marketplaces (anibis.ch, tutti.ch, Ricardo.ch) and Finance and Insurance (financescout24.ch, Moneyland.ch).

At SMG Serbia , 130+ talents thrive in a fast-paced, collaborative environment, guided by our values : Better Together, Aim High, and Act Responsibly, shaping the future of digital marketplaces.

Job Description

Are you a curious and impact-oriented Data Scientist passionate about turning complex data into real-world value for users and the business? Do you thrive in cross-functional teams and enjoy working at the intersection of data, product, engineering and marketing?

We’re looking for a proactive and driven Data Scientist to join our dynamic data team composed of Data Engineers, Analysts, Scientists, Digital Specialists, and Product Owners. You will play a key role in shaping and delivering initiatives that power smarter decisions and deeply personalized user experiences. Your primary focus will be on high-impact projects such as Personalisation at Scale and the Sort Algorithm that drives user engagement across our platform.

As part of our mission to unlock the full potential of data, you will collaborate with experts across domains to ensure that machine learning models and data science solutions are not only cutting-edge, but also scalable, explainable, and tightly integrated into product and marketing workflows.

Specifically you will :

Design, develop, and deploy machine learning models for personalization, recommendation, ranking, monetisation… (e.g. Personalisation at Scale, Sort Algorithm)

Partner with product managers, stakeholders, and engineers to identify opportunities where ML can add value

Build and maintain end-to-end ML pipelines, from data preparation and feature engineering to model evaluation, deployment, and monitoring

Translate complex data science concepts into actionable insights and product recommendations

Define and track KPIs to measure the impact of product initiatives

Work with Data Engineers to ensure robust data foundations, high-quality features, and scalable infrastructure

Collaborate on A / B testing, experimentation design, and interpretation of results to guide product and marketing strategy

Contribute to the Automotive data platform of the future, and take pride in the measurable impact your models have on user experience and business performance

Qualifications

Master’s or PhD degree in a quantitative field (e.g. Computer Science, Statistics, Mathematics, Engineering, or related)

5+ years of hands-on experience developing and deploying machine learning models in production environments

Strong programming skills in Python and SQL, experience with ML libraries like scikit-learn, XGBoost, TensorFlow or PyTorch

Strong understanding of recommendation systems, ranking algorithms, personalization strategies, knowledge graphs, LLM’s , evaluation metrics (e.g. NDCG, MAP, CTR)

Experience working with cloud platforms, preferably Google Cloud Platform (GCP), and tools like BigQuery, Vertex AI, or AI Platform

Familiarity with feature stores, ML pipelines (e.g. Vertex Pipelines, Kubeflow, Dagster), and model monitoring

Understanding of data quality, reproducibility, and versioning best practices

Comfortable working in agile, decentralized teams and contributing to Data Mesh architecture

Who you are ⭐

You thrive in solving ambiguous problems with data and are outcome-driven

You care about impact, scalability, and the ethical use of data and algorithms

You enjoy working in a team, but are capable of driving a project from idea to production independently

You are proactive and think ahead – anticipating issues and proposing solutions before they become blockers

You balance scientific rigor with pragmatic decision-making in a business context

You take ownership and accountability for your models and the value they generate

You’re not just a model builder — you shape how the company thinks about and leverages data science

Additional Information

Recruitment Process

We keep hiring simple and human :

Initial Video-Call with our Recruiter

Meet the Hiring Manager

Technical Assessment

Team Fit Conversation

At SMG, we value unique perspectives and believe in the potential of every individual. Together, we learn from one another, embrace differences, and drive real impact.

Benefits you'll love :

Disclaimer

SMG Swiss Marketplace Group AG primarily engages directly with candidates. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.

About Us

SMG Swiss Marketplace Group AG. is a pioneering network of online marketplaces and cutting-edge European digital company that simplifies people’s lives with innovative products.

SMG Swiss Marketplace Group AG. provides customers the best tools to meet their life decision needs. The portfolio includes Real Estate (, , , , , , , , , ), Automotive (, ), General Marketplaces (, , ) and Finance & Insurance (, ).

The company was founded in November 2021 by TX Group AG, Ringier AG, La Mobilière and General Atlantic.

Disclaimer

SMG Swiss Marketplace Group AG primarily engages directly with candidates. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.

Job Location

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