Data Scientist (digital-marketing)

Sber is a leading financial institution in Russia, providing a wide range of banking and financial services.

• Development and testing of ML/AI agent prototypes for automating ad campaign processes • Creating solutions for evaluating ad campaign effectiveness: mROI assessment service, training mROI models • Developing methods/models for analyzing large volumes of marketing data and generating insights for optimizing placement strategies • Preparing and maintaining production code for agents/models, integrating solutions into the product with the ML and product development team • Preparing documentation and describing developed solutions.

• Experience as a Data Scientist / ML Engineer for at least 1 year • Proficient in Python and ML tools (pandas, numpy, scikit-learn, pytorch, transformers, etc.) • Practical experience in developing production solutions (ML services / pipelines / agents) • Experience in developing solutions with agent logic (Function calling, ReAct), experience with langchain, langgraph frameworks • Worked with backend/data services (FastAPI, Flask, gRPC, etc.) • Knowledge of Docker container principles • Familiar with team development principles (git) • Ability to work with SQL and analytical databases • Capable of formulating hypotheses and bringing them to working solutions • Ready to quickly create prototypes.

Sber (formerly Sberbank of Russia) is the largest bank in Russia and Central and Eastern Europe, providing commercial and retail banking services including corporate loans, asset management, online banking, and financial services to institutions.