Responsibilities

• Draw upon the practice of data analysis, using predictive analytics, data mining, pattern recognition, data modeling, machine learning and various statistical methods
• Develop solutions in classification, recommendations and computer vision
• Work with business and technology teams to identify business cases, to design and supervise the implementation of prototypes using data science and machine learning techniques 
• Work on solving complex and modern problems for well known companies

Requirements

• Interest in Statistics, Data Science or Machine Learning 
• Ability to perform individual work and research, and work in small, agile, collaborative teams 
• Programming or scripting skills (Bash, Python, Julia, MATLAB, R, Ruby, etc.)

As advantage we consider:
- Experience in software development
- Work with database systems or large, scalable software solutions
- Experience with data processing/visualization tools (R Shiny, Pandas, SQL, Power BI, Qlik Sense, Tableau, etc.)
- Experience with Machine Learning frameworks (TensorFlow, Amazon AWS, PyTorch etc.)
- Good English communication skills
- Experience with the Apache stack (Spark, Hadoop, etc.)