Перенесена в архив: Head of Predictive Analytics

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О вакансии

This company 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.

The range of issues vary from mathematical and algorithmic model building up to determining the company’s business development way.

Responsibilities:

  • 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.

Requirements:

  • 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).

Benefits:

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

Send your CV on hr@digitalhr.ru

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