Senior Data Scientist

United States Digital Space LLC; Hamburg; Vor Ort; EUR 126.000 - 154.000; Vollzeit

Benefits dieser Stelle

Competitive salary package

Hybrid working model

Relocation support

Flexible working arrangements

Strong career growth opportunities

Zusammenfassung

United States Digital Space LLC is looking for a Senior Data Scientist to join their team in Hamburg. This role involves building deep learning models for recommendation systems and developing scalable machine learning solutions in a hybrid work environment.

With a competitive salary package of up to €140,000 and opportunities for career growth, you will collaborate closely with engineers to create impactful algorithms and systems.

Qualifikationen

• 7+ years of experience in Data Science or Machine Learning.
• Experience building and deploying production ML systems.
• Strong understanding of model evaluation and workflows.

Aufgaben

• Build and optimise deep learning models for recommendations.
• Develop scalable machine learning solutions.
• Collaborate with engineers to deliver business impact.

Kenntnisse

Deep learning frameworks (PyTorch, TensorFlow)

Production machine learning systems

Recommendation systems

Python

SQL

Large-scale datasets

Jobbeschreibung

Senior Data Scientist – Deep Learning & Recommendation Systems

Hamburg, Germany (Hybrid) | Full-Time

Are you interested in solving complex machine learning problems at scale?

We are supporting an innovative technology company in Hamburg looking for a Senior Data Scientist to join a highly technical team developing large-scale deep learning solutions for recommendation, ranking and personalisation.

You will work on production machine learning systems where advanced models directly influence user experiences and business outcomes, developing intelligent algorithms that understand behaviour, optimise relevance and deliver personalised experiences at scale.

Tasks

• Build and optimise deep learning models for recommendation, ranking and personalisation
• Develop scalable machine learning solutions using modern deep learning techniques
• Work with large-scale datasets to improve model performance and user relevance
• Design experiments, evaluate model performance and validate new approaches
• Take ownership of ML models from research and development through to production deployment
• Collaborate closely with engineers and product teams to deliver measurable business impact
• Contribute technical expertise and best practices within the machine learning community

Requirements

• 7+ years of experience in Data Science, Machine Learning or Applied Science
• Extensive experience building production machine learning systems
• Strong hands‑on experience with deep learning frameworks such as PyTorch and/or TensorFlow
• Experience developing recommendation systems (RecSys), ranking algorithms or personalisation models
• Strong Python and SQL skills
• Experience working with large-scale production datasets
• Strong understanding of experimentation, model evaluation and production ML workflows

Benefits

• Competitive salary package up to €140,000, depending on experience
• Hybrid working model in Hamburg
• International English‑speaking environment
• Opportunity to work on technically challenging deep learning and recommendation systems
• Flexible working arrangements
• Relocation support available
• Strong opportunities for technical ownership and career growth