Senior Data Scientist
Senior Data Scientist
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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
Were 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 :
Masters 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 LLMs 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
Youre 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 youll love:
- Be a part of well established Swiss-based subsidiary in Belgrade
- We value work-life balance and employee happiness. Thats why we grant you hybrid work environment and 25 vacation days per year with the option to buy another 10 days in an unbureaucratic process. You get 5 fully paid sick days per year and another 5 days for special occasions
- Lots of team activities and perks
- Great equipment competitive salary and a variety of fringe benefits like a gym membership and discounts at local stores
- International team and working environment of talented and fun people
- Stimulating work experience that will allow you to grow both professionally and personally
- Yearly budget for your personal development
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 peoples 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 (ImmoScout24 Homegate Flatfox Publimmo CASASOFT IAZI) Automotive (AutoScout24 MotoScout24) General Marketplaces ( Ricardo) and Finance & Insurance (FinanceScout24 ).
The company was founded in November 2021 by TX Group AG Ringier AG La Mobilire 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
