Senior Data Scientist

Requirements:

• At least 5 years experience as a Data Scientist

• Great Python coding skills

• Hands-on experience with data analysis: probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels

• Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and neural networks and experience with popular frameworks (sklearn, LightGBM, xgboost, keras, pytorch, tensorflow.)

• Ability to create API for a developed solution (FastAPI, Flask, django rest framework, tensorflow-serving, pytorch-serving, Docker, etc.)

• Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, possibly jupyter notebooks, streamlit, tensorboard, etc.)

• Experience with ML services provided by at least one hyperscaler (AWS ,Azure, GCP)

• Understanding of DataOps and MLOps

• Experience working according to Agile practices

• Great communication skills

• Upper-Intermediate English

A big plus would be:

• Experience as a team lead

• Experience with Generative AI (LLM, cloud services, LangChain)

• DataOps, MLOps experience

• Knowledge of Atlassian products Jira, Confluence

Benefits:

• Working on own R&D projects;
• Working with products in Western Europe and America;
• Career and professional growth;
• Full cycle projects;
• Corporate-funded training (functional training, foreign languages);
• Young and friendly team;
• Long term full time employment;
• Stable pay;
• Flexible working hours.