— Proficiency with Python
— Experience in NoSQL (MongoDB + Elasticseaerch)
— Knowledgeable in classical statistics and time series analysis.
— Experience with natural language processing and related libraries.
— Familiarity with supervised and unsupervised Machine Learning algorithms for regression, classification, and clustering. Familiarity with information retrieval algorithms is a plus.
— Undergraduate in one of the following: Computer Science or Engineering (with a focus on artificial intelligence, data mining, or machine learning).
— Agile, action-oriented, quick thinker: you can deliver preliminary results fast by simplifying assumptions, and take time to dive deeper if the problem demands more scientific rigor.
— Excellent English communication skills, both written and spoken.
— Modern working place (27″ iMac or MacBook or other preferred hardware);
— Cozy office in the very center of the city (near Opera house);
— Flexible working hours;
— Possibility of partly remote work;
— Regular performance reviews;
— 20 working days of paid vacation annually;
— Additional vacation days for special lifetime events;
— 10 working days of paid sick-leaves;
— Medical insurance;
— Maternity leave policy;
— Free English classes;
— Compensation of educational and training programs;
— Team buildings and corporate events.
You will work with a wide range of large unstructured and structured datasets and design methods to extract new useful information from them, as well as implement improvements on top of existing methods.
An internet start-up in Silicon Valley with a mission to empower people with the best information and tools necessary to achieve their career aspirations. The co-founders have worked together before and have started multiple technologies and internet businesses previously and had multiple successful exits.