Develop and deploy machine learning models for bidding, pacing, KPI prediction, and forecasting, using large-scale data to improve real-time programmatic advertising performance.
Data Science Professionals
📜 Description
- Develop models for seller and user experiences, personalization, growth, and core e-commerce features.
- Improve user intent modeling, search ranking, recommendation relevance, and discovery system reliability.
- Analyze large-scale structured and unstructured data from across the ecosystem.
- Apply ML-Ops best practices to improve model performance and deployment cycles.
- Run A/B experiments, evaluate results statistically, and apply learnings.
- Partner with product, engineering, and risk teams to turn business challenges into data science solutions and communicate actionable findings.
🛠️ Requirements
- Good knowledge of python or other programming language. Experience in one or more of the libraries such as scikit-learn, Pytorch and TensorFlow is a plus.
- Good knowledge of SQL and familiarity with best practices
- Strong analytical skills with a data driven approach
- Excellent written and verbal communication skills in English
- The experience range for this position is suitable for specialist/senior specialist roles
✨ Benefits
- Flexible hybrid working model, including work-from-abroad opportunities and a summer working model.
- Meal allowance
- Health insurance options
- Access to in-house doctors, psychologist and dietitian support, and HPV vaccination.
- Annual training allowance
- Learning management system
- In-person learning sessions
- Global mentoring and expert guidance.
Full job description
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
Responsibilities
Expected Qualifications
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