We are looking for a Junior Data Scientist / ML Engineer for Sber's recommendation platform development team. We need a specialist interested in machine learning and recommendation systems, ready to develop ML pipelines and work with big data.
Responsibilities:
- Development and improvement of ML pipelines for RecSys tasks: data preparation, model training, validation, and deployment in collaboration with experienced colleagues
- Analysis and work with large volumes of data on PySpark with team support
- Study and application of current methodologies in Data Science, Deep Learning, and RecSys
- Interaction with the development and analytics team, participation in hypothesis generation and discussion of solutions, presentation of work results
Requirements:
- Studying in the final years or recent graduation from a mathematics or IT-related program
- Genuine interest in machine learning and recommendation systems, curiosity, and willingness to learn quickly
- Practical experience in solving ML tasks in academic, research, or pet projects: data preparation, model training, and quality assessment
- Solid knowledge of Python and familiarity with core libraries for data analysis and ML (NumPy, pandas, scikit-learn; PyTorch will be an advantage)
- Ability to independently learn new topics, read technical materials in English, ask questions, and work in a team
Conditions:
- Hybrid/office work format (optional). The office is located at Nizhny Novgorod, Oktyabrskaya, 35 lit. A
- Annual salary review, quarterly and annual bonuses
- Corporate gym and recreation areas
- Over 400 educational programs at SberUniversity for professional and career development
- Adaptation program and mentor support at the start
- Extended voluntary medical insurance, preferential insurance for family, and corporate pension program
- Flexible mortgage loan discount equal to 1/3 of the Central Bank's key rate
- Prime subscription with the possibility of sharing with three close ones
- Reward for recommending friends to the Sber team
Skills:
- Python
- PySpark
- PyTorch
- Airflow
- MLflow
- Kubernetes
- Redis
- Kafka
- S3
- FastAPI
- NumPy
- pandas
- scikit-learn
- SQL
- Git
- Linux
