Our partner is looking for a Senior Data Scientist (m/f/d) based in Spain. This role offers the opportunity to build and improve machine-learning products operating at exceptional scale within the digital advertising ecosystem. The position spans the full data science lifecycle, from research and experimentation through production deployment and continuous optimization.

You will collaborate closely with data scientists, analysts, and machine learning engineers to develop scalable solutions with measurable business impact. Your work will directly contribute to improving product performance, customer outcomes, and the efficiency of programmatic advertising systems. The environment is international, highly collaborative, experimentation-driven, and focused on solving complex problems with practical machine learning.

This is an opportunity for an experienced data scientist to work on challenging problems while having meaningful technical and commercial impact. Develop, improve, and maintain machine-learning models used within large-scale programmatic advertising systems. Enhance existing models by introducing new features, tuning parameters, and incorporating additional data sources.

Collaborate with Machine Learning Engineers to research, develop, and deploy scalable supervised and unsupervised learning algorithms. Explore new and existing data sources to identify opportunities for improving models and product performance. Research and evaluate machine-learning approaches that can optimize different stages of the business and technology value chain.

Design, run, and analyze A/B tests to validate hypotheses, measure impact, and guide product and modeling decisions. Contribute to neural-network-based products for classification, regression, multi-task learning, and other relevant applications. Build clean, reproducible, well-tested code suitable for production environments.

Develop and improve monitoring solutions, dashboards,



and data-driven tools to track model and system performance. Work closely with analysts, engineers, and other data scientists to communicate findings and translate research into practical solutions. Minimum 5 years of professional experience developing data science or machine-learning products, ideally covering the full lifecycle from research through production deployment.

Strong programming skills, particularly in Python, with a focus on clean, reproducible, maintainable, and well-tested code. Practical experience with technologies such as Spark, Hadoop, Airflow, Docker, and SQL.Experience building neural-network-based products for classification, regression, multi-task learning, or similar applications is highly valuable. Strong SQL skills and a good understanding of dashboards and monitoring tools.

Ability to work effectively with large datasets and complex machine-learning systems operating at scale. Excellent communication and collaboration skills, with the ability to work effectively alongside data scientists, analysts, engineers, and other stakeholders. A strong experimentation mindset and willingness to continuously research, test, and refine new approaches.

Opportunity to work alongside experienced data scientists, engineers, entrepreneurs, and industry specialists. Adaptable work-from-home arrangement. Opportunity to relocate to an office in Berlin. USD $500 home-office setup budget.

USD $1,000 annual learning and development budget. Opportunity to work on machine-learning systems processing massive datasets and real-time advertising workloads. Exposure to challenging data science problems across large-scale programmatic advertising and machine learning.

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📌 (Senior) Data Scientist (m/w/d) (Senior) Data Scientist (m/w/d)
🏢 Jobgether
📍 Madrid