Data Science Engineer (with Machine Learning experience) in Tallium

Tallium is looking for an experienced Data Science engineer with expertise/knowledge of Machine Learning. We have a large, long-term FinTech project for the Ukrainian market, the main goal of which is to build models that will help to work effectively with the transactional activity of users - to process, analyze, direct in order to further transform obtained data into profitable solutions. Necessary skills: • 3 years of work experience as a Data Science Engineer / Machine Learning Engineer / Data Analyst; • previous experience in banking or fintech projects; • experience working with large volumes of data and their analysis ;• understanding of mathematical concepts (linear algebra, probability, statistics) to understand machine learning algorithms;• practice with Oracle databases, experience with Haddop or similar systems, including writing queries, procedures and query optimization;• experience with Python libraries (pandas, NumPy) for data processing, cleaning and analysis; • experience using Python libraries (scikit-learn, TensorFlow, PyTorch) to create and optimize models; • experience working with machine learning algorithms, including classification, regression, clustering, neural networks etc.;• willingness to constantly improve your skills, learn new methods and tools related to data analysis and Data Science.• English - intermediate or higher. Your advantage will be:• knowledge of BI tools, ability to create dashboards for monitoring the work of models.• experience with google cloud. What tasks will need to be performed:• develop machine learning models to determine the propensity of customers to order certain products, predict customer churn, recommender systems, develop models for trigger communications.• support models throughout their entire life cycle;• research and develop algorithms data processing; • develop functions and procedures. What do we offer? - long-term cooperation and a large, interesting project; - competitive and stable financial compensation with revisions; - paid vacation and sick leave; - the possibility to work remotely in full or in part; - a comfortable office with zones for recreation in the center of Kyiv near Olimpiysk; - flexible work schedule; - excellent opportunities for professional growth within the company; - medical insurance; - compensation for English lessons; - budget for personal profile development; - rich leisure time and high-quality corporate culture.