Position: Data Science/Machine Learning Engineer
Company: EPAM
Experience required: 3y
English level: upper

With the global roll out of the program it's becoming crucial to empower local Brand owners with the methodology and tool to accomplish analytics independently. 

It is required to build a solution, that will  automate the price elasticity analysis, thus increasing productivity and allowing to cover more markets and brands in less time. This will include in particular, price elasticity calculation, cross-elasticity and price optimization.

Position Requirements

Must have: 

Strong statistical analysis skills, experience with building advanced regression models for business/commercial analytics
Proficient with R and respective toolset (R Studio, Shiny, etc)
Data analysis, preparation, data wrangling, etc.
Good knowledge of common machine learning algorithms (supervised/unsupervised learning)
Python/Jupyter/JupyterHub

Strong plus:

Understanding of the price elasticity/price forecasting/price optimization analysis
Hands-on experience with BI tools, specifically Tableau