Data Scientist Focusing on the Energy Industry

Position Purpose

We are looking for talented data scientists to join the Kaggle team.

We have branched out behind our core data mining competititons, to build end-to-end solutions on an industry by industry basis. Our first industry is energy, where we're building solutions that can transform the world's largest industry.

In the energy sector, we've started with two basic solutions:

using detailed geological data to pick the best place to lease and drill for oil & gas;
using detailed data on drilling practices to help operators produce efficiently.

These solutions help Oil & Gas companies operate more efficiently limiting both capital destruction and environmental impact (for example: 25% of wells in the Eagle Ford field in south Texas are uneconomic and should not be drilled).

The machine learning and statistical challenges in energy have some interesting properties:

geospatial data
mix of deep science and machine learning
sample sizes are small and samples are highly correlated
we care about explainability and insights

Addressing these challenges requires layers upon layers of statistical machine learning models
We want to fully capture the uncertainties in our modeling at each layer, not just the point estimates.

The company is based in San Francisco, but we're open to remote employees as well.

Job Summary

  • San Francisco, CA, US
Date Posted:
19 Nov 2014
Engineering Software
Business Services