Data Scientist/Advanced Analytics - Auto/Energy/Chemical

- Lead tasks that use advanced modeling techniques - regression, time series, machine learning, and more - to provide actionable results, to support new and existing products and platforms, and to influence business decisions

- Minimum Bachelor's in statistics, computer science, electronics, mathematics, economics, or a similarly quantitative discipline. Additional education is preferred.

- 8 yrs of relevant analytics, quantitative analysis, and predictive modeling experience.

- Strong proficiency in advanced statistical and machine learning techniques (random forest, support vector machines, neural networks, survival analysis, Bayesian statistics, etc).

- Demonstrated creative problem solving & critical reasoning abilities.

- Established ability to communicate effectively and proactively.

- Strong proficiency in R or SAS

- Experience with SQL, Oracle, Python, C++, VBA, Tableau, ArcGIS, and/or Hadoop highly desirable.

- Should have domain experience of Automotive, Energy or Chemical Industry.