Requirements

— 3+ years of experience in a related field;
— Demonstrated history of driving and delivering analytics models and solutions;
— Deep knowledge of fundamentals of machine learning, data mining, and statistical predictive modeling, and extensive experience applying these methods to real-world problems;
— Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R) and various open-source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work;
— The breadth of skills and experience in machine learning — diverse types of data, diverse data sources, different types of learning models, diverse learning settings;
— Demonstrated ability to propose novel solutions to problems, performing experiments to show the feasibility of their solutions and working to refine the solutions into a real-world context.

Responsibilities

— Feature extraction & training models of various types (mostly predictive modeling);
— Works directly with the core team to understand, implement and propose various use cases;
— Provide recommendations that helps the core team to focus on the bottlenecks;
— Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes;
— Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights;
— Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.

What we offer

— Stock option plan;
— Investment in your growth and self-development;
— Competitive compensation;
— 20 working days of paid vacations and paid sick leaves;
— 10 remote days each month and one remote month from another country per year;
— Foreign language classes inhouse and communication with native speakers;
— Online fitness with a corporate trainer;
— Modern and conveniently located offices with good working conditions;
— Corporate, social and cultural events.