Position: Data Science/Machine Learning Engineer
Company: EPAM
Category: Data Science
Experience required: 3y
English level: upper
Published: 2020-05-01T00:00:00+03:00

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