We are a startup. We are thinking about creating an opportunity for people to monetize their attention. Our vision is to create new employment for people. When we put our plan into practice, people will be able to choose whether to earn the old way or to sell their attention. We intend to make the level of income from sales of one’s attention more than the usual payroll. To search for new knowledge in the data flow, we are opening a vacancy — data scientist. You have to search for data streams and extract new knowledge from them so that we see more and further than peers. Responsibilities:— Validation of models;— Building forecasts;— Building machine learning models;— Teamwork (with related experts);— Search for nontrivial dependencies and objective laws;— Search for data sources (finance and economics);— Presentation of the results of the work;— Software media monitoring;— Preparation of data for analysis;— Data visualization. Requirements:— Higher education;— Willingness/ability to work in a team;— Сonfident knowledge of mathematical tools;— Fluency in English and Russian;— Confident programming (one of C/C++, Python, R) and knowledge of the libraries;— Practical use of cloud services;— Practical acquaintance with SQL/NoSQL, DWH, ETL;— Knowledge of the basics of the work of a data engineer;— Familiarity with econometrics;— Ability to see the business behind the data. Conditions:— Remote/remote work;— Environment of talented professionals;— Kind colleagues and leaders;— The ruble exchange rate can be bonded to another currency;— Relocation from Russia and/or official military deferment is possible;— A project that can change peoplechr(39)s lives for the better;— Quarterly and annual bonuses;— Participation in the project from scratch;— Monthly income;— Free schedule;— Career growth.To be in for an interview, youchr(39)ll need to complete a test assignment. Please, propose a method for clustering a set of objects (products in the catalog with N attributes by which these products can be filtered), which allows you to build a hierarchy of clusters with the following characteristics: the number of hierarchy levels (the number of filters that the user needs to select to find the product) should be minimal; the number of branches at any level should be no more than 10 (the number of filter values available to the user for selection at each stage). The algorithm may be vague (clusters may overlap). The essence of the task is to propose an algorithmic method for building navigation on a website, linking product cards with hypertext links. One product card can receive more than 1 link. Propose a method for assessing the quality of an algorithm. Write terms of reference for a data engineer (for the data set you need to complete the test assignment). Details in private messages on the site hh.ru.
Адрес
Москва