Position: Python Developer (Data Science)
Company: ELITEX
Experience required: 2y
Category: Python
English level: intermediate
Published: 2020-08-01T00:00:00+03:00

Required skills
— 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).

As a plus
— 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.

Responsibilities
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.

We offer
— 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.

Project description
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.