You will be working on full-cycle data science projects.
Your tasks will include data preparation, developing ML models and deploying them to production;
Data Analysis and Preparation
Development of Machine Learning solutions.
Deep knowledge of linear algebra, calculus, statistics, probability theory
Strong knowledge of Python, OOP
Knowledge and experience with algorithms and data structures
Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn ,etc)
Experience with SQL/NoSQL
Experience with sales and time series analysis
Experience with at least one of Deep Learning frameworks (PyTorch, Tensorflow)
Knowledge of modern Neural Networks architectures (RNNs, CNNs, Transformers, etc)
Experience with Cloud Computing Platforms (AWS, GCP, Azure)
Docker practical experience or DevOps/MLOps
Participation in Kaggle competitions