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Head of Predictive Analytics


от 200 000 до 300 000 ₽

Местоположение и тип занятости

МоскваПолный рабочий день


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

Описание вакансии

Условия работы

Wheely is the most high-quality and reliable service in this segment comparing to the competitors. It takes a mid-line place in between business class taxis and personal drivers. Having taken the leading market position in Moscow and St. Petersburg, Wheely is planning for expansion in other megapolises.

The Analysis Department at Wheely helps work out the problems that pop up and keep the company on track to accomplish its mission. The range of issues vary from mathematical and algorithmic model building up to determining the Wheely’s business development way.


  • Development of Machine Learning / Predictive Analytics inside the Analytics department to solve complex business problems (ETA prediction, preorders distribution, etc.)
  • Access-to-data management to help other departments to make their decisions more data-driven (now we are using Periscope Data for this purpose)
  • Data quality and infrastructure management (stack now: MongoDB -> Stitch -> Redshift)
  • Improving opportunities for education and professional development of the analytics team


  • Degree in CS/Mathematics/Data Science/Statistics/Econometrics or equal
  • Management experience
  • Data-oriented personality
  • Proven track record of using data to provide actionable business results, especially data science and statistics projects
  • Great business sense (understanding of business metrics) and communication skills
  • Excellence in statistics and research design
  • Excellent understanding and experience of machine learning techniques (eg k-NN, Naive Bayes, SVM, GBM, etc.)
  • Understanding of big data & analytics architecture
  • Experience with common data science toolkits, such as R, Weka, Scikit-learn, Pandas
  • Proficiency in at least one high level programming language like Python
  • Proficiency in using query languages (SQL, Hive, Pig…) or NoSQL databases (MongoDB, Cassandra, HBase)


  • Competitive salary
  • Stock options after a year
  • Health insurance after probation, including medical, dental and travel
  • Free Wheely rides after probation
  • Great location: a five-minute walk from Dmitrovskaya metro station
  • iMac or MacBook Pro
  • Cozy office, coffee, fruits, snacks and free lunches