JOB DESCRIPTION: 
PicsArt is looking for a Senior Machine Learning Scientist focused on User Behavior Research to help build, scale and manage state-of-the-art machine learning algorithms.
RESPONSIBILITIES: 
- Develop and scale algorithms and mathematical models that significantly improve the Company's 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;
- 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.
REQUIRED QUALIFICATIONS: 
- Bachelor's or master's degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics or other 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 skills; strong engineering practices; debugging/ profiling skills; familiarity with multi-threaded programming;
- Experience with 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 working in a distributed, cloud-based computing environment (e.g. Hadoop or Spark);
- Experience working with noisy/ buggy behavioral data is a plus.
APPLICATION PROCEDURES: 
Interested candidates who meet the requirements listed above are welcome to apply by following the link:
https://picsart.bamboohr.com/jobs/view.php?id=118.
Please clearly mention in your application letter that you learned of this announcement through Career Center and mention the URL of its website - www.careercenter.am. Thanks.