
Senior Data Scientist (Global Search, Consumer)
Auto-estimated from similar roles, location, experience & market data. Actual pay may vary.
Description
Requirements
- Master's degree, or a Bachelor's degree with 6+ years of work experience, in Computer Science, Mathematics, Physics or a related quantitative field.
- 4+ years of industry experience as a Data Scientist or Machine Learning Engineer applying ML in high-traffic production environments.
- Production-proven, hands-on experience implementing modern deep learning ranking architectures such as DCN-V2, MMoE and Two-Tower, with strong command of multi-task learning, cross-feature interactions and embedding optimization at scale.
- Solid foundation in Learning-to-Rank methods (pointwise, pairwise, listwise), offline evaluation metrics such as NDCG and MRR, and the challenges of bridging offline metrics to online A/B outcomes.
- Proficiency with LLM coding agents and agentic CLI tools as first-class development tools for autonomous experiment generation, architecture prototyping and rapid iteration.
- Familiarity with the auto-research paradigm and comfort reviewing large volumes of autonomously generated experiment results.
- Expert knowledge of Python and its ML ecosystem including PyTorch, TensorFlow and scikit-learn.
- Comfortable with SQL and dbt, cloud environments such as GCP or AWS, and big-data processing at scale with PySpark and Scala.
- Strong command of the full ML lifecycle: feature stores, vector databases, model versioning, A/B experimentation frameworks and deployment to high-throughput, low-latency serving infrastructure.
- Hands-on experience with MLOps practices such as CI/CD for ML pipelines, Metaflow, experiment tracking, model registry and production monitoring for drift, latency and data quality.
- Comfortable navigating ambiguity and translating broad business objectives into well-scoped data science projects.
- Demonstrated ability to work in cross-functional, globally distributed teams and to communicate model behaviour and trade-offs to technical and non-technical audiences.
Experience Level
Benefits
💰 Net Salary Calculator
Deduction Breakdown
🏠 Cost of Living in Berlin
Monthly Essentials
Lifestyle & Entertainment
Strong savings potential: You could save €2,122 monthly, which is €25,464 per year.
💡 These estimates are based on average costs in Berlin. Actual expenses vary based on lifestyle, neighborhood, and personal choices. "Comfortable living" includes rent, utilities, groceries, transport, and reasonable dining/entertainment.
Eligible for the EU Blue Card
A salary of €80,352 meets the EU Blue Card minimum of €45,300 (2026).
The EU Blue Card is a residence permit for highly qualified non-EU workers. It offers a fast track to permanent residency and allows family reunification.
Also eligible: EU Blue Card (Shortage Occupation) (€41,042+)
Documents needed
📍 Life in Berlin
About Berlin
- •Creative and tech hub
- •Diverse neighborhoods
- •Excellent public transport
Climate
- •Continental climate
- •Cold winters
- •Mild summers
- •Four distinct seasons
Safety
- •Generally safe
- •Higher petty crime than Munich
- •Some areas less safe at night
Healthcare
- •Good hospital network
- •Charité is world-renowned
- •Wait times can vary
Culture
- •World-class museums
- •Vibrant art scene
- •Rich history
Nightlife
- •Famous club scene
- •Diverse nightlife
- •24/7 culture
Recreation
- •Many parks
- •Lakes
- •Tiergarten
- •Active outdoor scene
Cost of Living
- •More affordable than Munich
- •Prices rising rapidly
- •Still cheaper than many European capitals
Part of Collections
The world's leading local delivery platform, operating in approximately 70 countries with 40,000+ employees. Processing €48.8 billion in GMV annually, the company connects 500,000+ restaurant and retail partners with customers across four continents through regional brands including Talabat, Foodpanda, Glovo, PedidosYa, Foodora, and others.
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