MS or higher in the following areas: Statistics and Mathematics;
At least 3-5 years of professional industry experience, in addition to your academic experience;
Outstanding quantitative analytical ability;
In-depth knowledge of Statistics/Probability/Machine Learning;
General Statistical concepts such as hypothesis testing, estimation, inference;
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering;
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction;
Real-world experience with popular machine learning algorithms such as Random Forest, Boosting, SVMs;
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus;
Strong programming experience in Python and one of the following: Scala/Java, R;
Understanding of algorithm complexity and performance implications;
Knowledge of data structures and algorithms;
Good knowledge of Graph technology, Knowledge Graphs, Graph Databases and Ontologies;
Experience with SQL;
Upper-Intermediate level of English.

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Competitive compensation based on your skills, experience, and customer satisfaction;
Opportunity to work on challenging and exciting international projects;
Flexible working hours and the possibility to work remotely when needed;
Regular performance evaluation twice a year;
Long-term contract with 20-25 paid time off working days (for vacation, sick, and personal leave);
Corporate English courses from A1 to C1 level and monthly English-speaking clubs;
Compensation of professional conference attendance according to the corporate policy;
Compensation of medical insurance/gym according to the corporate policy;
Casual, friendly, and family work environment, flat organizational structure;
Regular knowledge sharing meetups and various corporate events (such as the company’s Birthday celebration and summer family party);
Newborn and wedding bonuses;
Gameroom with a lounge zone, PlayStation, and sports equipment;
Travel and visa assistance for employees;
Coffee, cookies, nuts, and dried fruits for a productive day;
Friday brunches with fresh bakery;
Yoga lessons;
Secure bike storage (Odessa).