Middle Data Scientist/Engineer in Data Science UA

Requirements: 2 years of commercial experience as a Data Scientist/Data Engineer. Mathematical background: IPSA, MehMat, Kubik, 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, data structures. Experience with neural networks, texts and images. Experience in implementing own models in production. Experience in working with SQL and NoSQL databases. Will be an advantage: Work experience with facial recognition. Development experience on Flask. About us: Data Science UA is a fast-growing IT service company. We are proud that we have been developing the Data Science community in Ukraine for more than 7 years. Data Science UA unites all engineers and developers around Data Science and related fields. We hold events related to machine learning, computer vision, informatics and workshops on the use of artificial intelligence in various fields. About the client: Big data, AI and the defense field are what they combined in their work. They work "at the cutting edge of innovation", analyze big data from social networks, identify groups of people based on photos, solve useful problems for the defense sector and business. About the role: We are looking for a Middle Data Scientist/Engineer to join the team. We offer: A very dynamic and friendly working atmosphere. Soc. package., [Processing of large volumes of data (feature engineering, search for dependencies), increasing the accuracy of current models., Developing models in production., Increasing the accuracy of facial recognition algorithms.] Requirements: Python, NumPy, pandas, scikit-learn, SQL , NoSQL, Flask