Position: Data Scientist / ML Engineer
Category: Data Science
English level: intermediate
Years of experience: 3

- Development several AI projects from scratch
- PhD (Applied mathematics)
3+ years in ML/AI, experienced in NLP field
- Strong math and academic background
- Languages: Python, SQL, R
- Python (Numpy, Pandas, Scikit-learn, MatPlotLib, flask)
- Data Science: Classical Machine Learning, XGBoost, Deep Neural Networks, CNN, Time-series Forecasting
- NLP (embeddings, transformers, huggingface, spaCy)
- Deep Learning, Neural networks (Tensorflow, Keras)
- Software engineering: OOP, Linux, Git, Algorithms & Data Structures, AWS, MySQL, MSSQL, Docker, Flask

Highlights and experience:
- Price prediction for real estate USA market
- Smart watches data processing (stress estimation and prediction, provide nutrition recommendation)
- Risk assessment, data anonymization and data masking
- Disease risk assessment, recommendation diagnosis for doctor
- Long-term position
- Challenging problems to work on
- Informal and friendly atmosphere
- Working in a team of professionals