Data Sc‎ientist

Зарплата

до 150 000 ₽

Требования

АналитикаPython

Местоположение и тип занятости

МоскваПолный рабочий день

Компания

При помощи собственных технологий мы создаем и развиваем самый безопасный и комфортный сервис личных водителей

Описание вакансии

Условия работы

Wheely is the #1 executive class service in Russia, with the ambition to become the #1 business and lux class private driver service in London in 2018. We are looking for a data analyst reporting to the head of analytics.

You will be responsible for:

  • Extract valuable information from data in order to support decision making and improve core business capabilities;
  • Develop and maintain predictive models for various business KPIs;
  • Conduct and publish research studies related to transportation and other relevant fields;

Interview mode: Interview + Test Assignment. You can submit the test assignment at any time during the interview process.

Requirements:

  • Python data science stack (numpy, scipy, pandas, scikit-learn, xgboost, etc.) or similar experience in R;
  • Ability to develop ML algorithms;
  • 3+ years experience in data science research and/or applied projects;
  • Experience in DL is a plus;
  • SQL and JavaScript knowledge is optional but is a plus;
  • Scientific publications is a plus;
  • LaTeX knowledge is a plus;
  • Proactive, analytical, hard working, teamwork;
  • Fast-paced, engineering-centric, fact-driven, results-oriented.

Benefits:

  • We’re a well-funded and rapidly growing start-up scaling up in new markets;
  • You’ll have real impact in revolutionising the transportation industry;
  • Wheely rides to test everything first hand;
  • Our culture is energetic and entrepreneurial: we’re passionate about enabling everyone to have impact on the company’s growth and evolution, and having a lot of fun along the way;
  • Competitive salary: 100 000 - 150 000 Gross;
  • Employee Stock Option program;
  • Flexible working hours;
  • Health insurance after probation period, including medical, dental and travel;
  • We'll ensure you have the best tools money can buy. MacBook Pro Retina is a standard issue;
  • Monthly stipend for courses and education (e.g. books, Datacamp, Dataquest, etc..);
  • Cozy office (5m walk from Dmitrovskaya metro station), coffee, fruits, snacks and free lunches.