• Us Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Jul 2021

•             Recently spun up a Client platform that they need a data scientist to now manage - platform is specifically dedicated to budget spend pertinent to acquisitions.

•             IE - if we acquires another company or there is a reorg, how is it that the budgets/royalties with each of those affiliated groups come back to ensure the spend is profitable.

•             "What was the cause to get the action - we threw a bunch of money out there and now we are trying to see what money acquired what users.”

•             Not an Client platform that is NLP - more so to solve a problem that is time series forecasting based.

3 Must haves:

•             Bayesian, Graphical

•             R & SQL - prefer R over python

•             3 types: observational and experimental design/ causal informational models are most important.

•             Hierarchical, bayesian, causal structure

•             Experimental design, Econometrics, price elasticity of demand, dimension reduction, clustering & segmentation, Time Series Forecasting. Diminishing returns

•             AB testing, multivariate testing, Time series analysis, Time series forecasting, Media Mix

•             Tensorflow - nice to have