Must have Automotive, FinTech or Financing Cars Industry Experience
Build best-in-class predictive models and decision tools:
The 5 main algorithms Data Scientist will be developing are:
#1. Value (fair market value)
#2. vehicles in demand (predict)
#3. recommendation models (i.e. collaborative filtering…meaning if guy X does this and most likely guy Y will do this).
#4. Predictive Exchange- when is customer thinking about buying another car - for example it will be possible in 4 months she/he will have the option to change car
#5. Credit underwriters, how likely is customer not likely to pay
Bachelor's degree in a STEM or related quantitative field (economics, social sciences, finance).
Have proven experience in using statistical and/or predictive modeling to build algorithms that will move human behavior in a desired direction.
Technical expert in data science and programming.
Experience building algorithms, data analysis and visualization.
Experience working with large datasets in a Cloud environment.
Have proven knowledge of advanced modeling techniques such as classification/regression, spatial analysis, time series analysis.
Have used location-based data to solve the optimization of complex customized networks in the mobility space.
Have outstanding written and verbal communication skills.
The Data Scientist must have automotive, credit or financial industry experience.
Big Plus have 1 year experience working remotely
#landkickassjob #remotejobs #partyforgood @recruitingforgood