Middle Data Scientist/Engineer in Data Science UA

Commercial work experience in the position of Data Scientist/Data Engineer - 2 years +. Mathematical background: IPSA, MehMat, UKU, etc. Understanding of basic principles and techniques in machine learning, supervised and unsupervised learning. Experience with NumPy, Pandas, Scikit-Learn, etc. Experience in feature engineering. Understanding of asymptotics, algorithms, and data structures. Experience with neural networks, text, and images. Experience in implementing own models in production. Experience with SQL and NoSQL databases. Nice to have: Experience with facial recognition. Experience developing on Flask. Very dynamic and friendly working atmosphere. Social package. ,[Processing of large volumes of data (feature engineering, search for dependencies), increasing the accuracy of current models., Development of models in production., Increasing the accuracy of face recognition algorithms.] Requirements: Python, Machine learning, NumPy, pandas, scikit-learn, SQL, NoSQL