Data Scientist developing ML models for auction optimization and recommendations in advertising tech startup. Collaborating with backend engineers and analyzing metrics post-deployment in Belgrade.
Responsibilities
Develop ML models for recommendation systems and auction optimization
Apply modern techniques such as Multi-Armed Bandits, Reinforcement Learning, and Counterfactual Learning
Work across the entire ML pipeline — from data and feature engineering to production inference
Collaborate closely with backend engineers, contribute to infrastructure design, and participate in A/B testing of models
Monitor metrics and model performance after deployment
Communicate with business stakeholders, analyze corner cases, and identify opportunities to improve the system together
Requirements
3+ years of experience developing and deploying ML models in production
Strong knowledge of classical Machine Learning algorithms
Excellent skills in Python, pandas, and scikit-learn
Solid understanding of probability theory, statistics, and basic Reinforcement Learning principles
Ability to turn vague business problems into clear, structured tasks and suggest appropriate models or solutions
Nice to Have: Experience in AdTech or Recommender Systems
Experience working with SQL and large-scale data
Knowledge of Airflow and Docker
Familiarity with deep learning frameworks — PyTorch, TensorFlow, or JAX
Ability to design solutions with latency and high-load considerations (highload ML)
Benefits
health insurance
fully covered 10 working days of sick leave per year
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