— Data Science related problems for different business domains;
— Implementing and supporting predictive models;
— Applying Data Mining techniques;
— Full-stack Data Analysis, Deep Learning, and Machine Learning models pipeline includes deep analysis of customer data, modeling, and deployment in production. It also includes decision-making regarding relevant computational tools for study, experiment, or trial research objectives;
— Presenting results directly to stakeholders and gathering business requirements;
— Compiling and interpreting analysis results as well as contributing to the proposals and architecture vision delivered to the customer.
— At least 2 year of commercial experience in DS;
— Strong knowledge of linear algebra, calculus, statistics and probability theory;
— Knowledge and experience with algorithms and data structures;
— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Experience in Natural Language Processing;
— Hands-on experience in statistical analysis, regression, classification, topic modelling, time series, predictive modeling;
— Experience with SQL;
— Knowledge of OOP;
— At least Upper-Intermediate (written and spoken) level of English.
— Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch, etc);
— Experience with Cloud Computing Platforms (AWS, GCloud, Azure);
— Basic understanding of Big Data concepts.
— Grow professionally with subsidized certifications, courses, and conferences;
— Improve your English with conversation clubs and direct client communication;
— Enjoy our extra perks: remote work, unlimited vacation, flexible schedule, bonuses for important life events, fresh food & snacks in the office;
— Let loose with fun parties, BBQs, online activities and off-sites.