Machine learning specialist

Piano is a fast-growing enterprise SaaS company with operations in Amsterdam, London, New York City, Philadelphia and elsewhere globally.  We provide enterprise software to the world’s leading media companies, including NBC Universal, the Economist, Condé Nast, Techcrunch, Bloomberg, and Hearst. Our software enables these companies to create customized digital experiences for users, restrict and sell access to content online, and analyze user behavior in order to drive engagement, loyalty, and revenue. Piano’s headquarters is in New York; the development offices are in Kazan, Izhevsk, Bratislava, and Philadelphia. 

We hold large data volumes and now are planning to launch a machine learning project. So we are building a team in Kazan to research models and apply them to the product. In doing that, the team will define requirements for data and solve problems if data is not available. They will also follow up the performance of their models in production.

We are looking for candidates with the following qualifications:
  • Experience and interest in applying models/research to product
  • Understanding of what to do if data is not available
  • Good math skills (in methods of statistical data analysis, mathematical modelling etc.) 
  • Data analysis with specialized programming languages/packages (Python, R, MatLab etc.) 
  • Awareness of the ML trends
  • Fluent English language skills

What we offer:
  • opportunity to influence technical decisions: anyone can suggest their idea, and it will be considered
  • well-lit, large, comfortable office
  • non-hierarchical system: flat relations within teams and offices
  • education and personal development: you can choose conferences and trainings that will be sponsored according to your personal quarterly budget
  • voluntary medical insurance: don’t worry about insurance coverage; if it’s not about plastic surgery, we’ll cover it;
  • English language courses: you can choose personal coach, online or offline school
  • relocation package covering travel costs, realtor service costs, one month of apartment rent
  • flexible working time: no need to be in the office at 9 am; sometimes you can even work from home 

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