Занятость:
Полная

График работы:
Полный день

Требования:
• Strong knowledge of Python (including numpy, pandas, sklearn);
• Understanding of machine-learning algorithms;
• Excellent knowledge of math and statistics;
• Top of the class with preferences given to faculties with in-depth study of mathematics/physics (HSE, NES, MSU, MIPT);
• Fluency in English;
• Understanding of corporate finance, economics, and accounting concepts (CFA, ACCA, CAIA) is a plus.

Должностные обязанности:
• Data mining;
• Preprocessing of data;
• Development of ML-models;
• Maintenance and development of current projects;
• Business development streams and critical review of new business opportunities.

Условия работы:
• High level of independence with significant opportunities for career and professional growth;
• Steep learning curve across several projects;
• Flat corporate structure;
• Flexible and “startup-like” working environment with young and motivated team members;
• Competitive compensation, transparent bonus system;
• Opportunity to lead new business lines.