Us Citizen
Green Card
Corp-Corp
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 14th 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