Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.)., At least 5 years of proven industry or research experience in data science-related and machine learning projects., Strong programming and algorithmics skills in Python, including experience with OOP., Advance knowledge of SQL and relational databases, ideally Snowflake., Expert knowledge of data analysis, statistics, data mining, machine learning or Big Data processing area., Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, Pandas, etc.)., Familiarity with data structures, CI/CD pipelines, software engineering principles and robust code testing., Collaborating in a team using code versioning tools like Git., Ability to summarize and present the finding results to business/product stakeholders in an easy-to-follow manner (clear visualizations, results summary in spreadsheets, etc.)., Good communication skills, ability to work in a Scrum team and leading projects., Openness to learn new technologies and adapt to technological stack., Experience in the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem., Experience in leading a group of developers in the past, success projects delivery history., Familiarity with AWS tools (e.g. Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL or big data tools (PySpark/Snowpark, Docker, Kubernetes, etc.), Experience with deploying ML models in production environment., Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana., Proven research experience in recommendation systems, or AdTech industry.

unlimited free access to Copernicus Science Center, mentoring program, psychological support, possibility to test new Samsung products, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, life insurance, corporate products and services at discounted prices, integration events, dental care, no dress code, leisure zone, pre-paid cards, baby layette, charity initiatives