Data Scientist/Machine Learning Engineer

Senior Data Scientist / Machine Learning Engineer — AdTech & Recommendation Systems
What's On Offer

• Competitive salary, depending on experience and seniority
• Hybrid working model based in Hamburg, Germany, with relocation and visa support available
• International, English-speaking environment
• Genuine technical ownership on large-scale deep learning and recommendation systems
• Strong opportunities for career growth within a fast-moving Data Science organization

The RoleWe are supporting a leading mobile advertising platform, operating at massive scale across hundreds of millions of users, in growing several teams within their Data Science organization. Depending on your background, you could be matched to a team working on real-time bidding optimization, large-scale behavioral prediction, or ad ranking and conversion modeling.

• Build and optimize deep learning models for recommendation, ranking, bidding, or behavioral prediction, depending on team
• Develop scalable machine learning solutions using modern deep learning techniques
• Work with massive production datasets to improve model performance and business outcomes
• Own models end-to-end — from research and experimentation through production deployment and A/B testing
• Collaborate closely with engineering and product teams to translate ML into measurable business impact

What We're Looking For

• 4+ years of experience in Data Science, Machine Learning, or Applied Science
• Strong hands-on experience with deep learning frameworks (PyTorch and/or TensorFlow)
• Experience with large-scale recommendation systems, ranking, or personalization models
• Strong Python and SQL skills, with experience integrating models into production pipelines
• Experience in AdTech, mobile gaming, e-commerce, or a similarly large-scale consumer platform
• Experience with real-time bidding or programmatic advertising is a strong plus for some open positions, though not required across the board

ApplyIf you're passionate about building large-scale machine learning systems in a fast-paced, high-impact environment, we'd love to hear from you. Apply today or get in touch for a confidential discussion.