Senior Data Scientist

PicsArt is looking for Senior/Mid Data Scientist (User Behavior Research) to join its team in Yerevan and Moscow offices.
is a photo/video editing app and a social platform for artists building a community around creatively editing pictures.

Company was launched in 2011. Headquarters are located both in Yerevan and San-Francisco. Since its creation PicsArt has consistently maintained a position as one of the top 50 apps on Google Play, in January 2019 PicsArt was on the second place in the International iTunes rating of free apps.
600+ million
Installs all over the world
130 million
Monthly Active Users
Translated to 30 languages
Senior Data Scientist
  • Develop and scale algorithms and mathematical models that significantly improve our current ability to make decisions based on qualitative and quantitative behavioral data;
  • In particular work on building Recommendation Systems algorithms, Predictive models, NLP based solutions, Monetization optimization techniques etc;
  • Identify and articulate the value that can be derived from machine learning models;
  • Work as a team player to improve data science methods and be a positive influence on team advancement;
  • Measure and continue to improve the predictive accuracy of models;
  • Educate the organization on new machine learning techniques and their applicability within PicsArt.
Qualifications & Competencies
  • BS or MS degree in Machine Learning, AI, Computer Science, Statistics, Applied Mathematics or related technical fields;
  • Experience with state-of-the-art techniques in machine learning algorithms, deep neural networks especially related to NLP and Recommendation Systems;
  • Background in statistics and understanding of different distributions and the conditions under which they're valid;
  • Solid understanding of theoretical foundations of A/B testing and practical knowledge of designing robust tests;
  • Strong Python coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming;
  • Experience in deep learning frameworks such as Tensorflow, Pytorch;
  • Experience with data science tools including Python scripting, numpy, scipy, pandas, pyspark, matplotlib, scikit- learn, jupyter notebooks;
  • Experience with SQL and relational databases;
  • Experience with working in a distributed, cloud-based computing environment (e.g., Hadoop or Spark);
  • Experience with working with noisy/buggy behavioral data is a plus.
Perks and benefits
  • Medical Insurance
  • Business Trips, Internal, External & Online Trainings, English Classes
  • Performance Bonus
  • Gym Package, Sport Activities, Yoga, Massage
  • Morning Sweets & Evening Snacks
  • Gifts for New-Born Babies
Meet the team
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