Details:

Responsibilities:

1. Understand client side requests (for ex. what different variables mean in a digital context; are there specific problems (analytical) in the industry that they are aware of.

2. Be the bridge between scenario creation (for ex. a broad problem we are trying to solve) and theoretical data science. Essentially, work closely with the theoretical data scientists to decode digital related pain points, translate them into data science work flows and collaborate with the theoretical data scientist to apply models, build algorithms and eventually deploy on the platform. 

Industry experience in this role compensates for perhaps less theoretical knowledge on the subject. The industry experience is relevant because this individual should know how brands are approaching digital, what are they aware of in terms of current market needs & demands and the general analytical capabilities offered by different firms in our space. 

 Top Line requirements across these roles include:

•Digital Marketing

•Predictive analytics: forecasting etc. 

•R/ Python

Min. Qualification:

ug

Skills Required:

data science, forecasting, predictive model, python, r