Senior Data Scientist

Über diese Stelle

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

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