Job Description :
US Citizens and those authorised to work in US are encouraged to apply. We are not able to provide sponsorship at this time.
This is for my direct client.
Data Scientist – Forecaster – Predictive Modeler
100% on-site in Charlotte, NC
6 months Contract-to-Hire
Start Date: ASAP
A large energy company is looking for a resource for a 6-month Contract-to-Hire position as a data scientist with a specialty in Forecast Server an enterprise miner.
SAS/ETS and SAS/STAT is good to know, but without Forecast Server and Enterprise Miner experience, candidate will not be considered.
This resource should have exposure to the energy sector having the ability to understand energy vocabulary, issue and problems.
They do not need to be an energy expert.
They will need to build models for billing and usage using the DOE created “Yardstick” model.
This person need to be able to read through the literature about this model implement it in a production environment.
The ideal candidate will be an expert at using SAS Forecast Server and Enterprise Miner.
This candidate should be able to write SAS Code to get at needed data even though an analytical data mart has been created to support this project.
This person should have experience implementing predictive models from white papers, testing them and scoring them.

Basic Qualifications
Graduation from an MA or PhD analytical based graduate program.
Exposure to energy sector
Exposure to DOE “Yardstick” model.
Desired Qualifications
Working knowledge of statistics, programming, predictive modeling & Forecasting
Working knowledge of code writing
Strong critical thinking skills and the ability to relate them to the products or services the company is producing
Understanding of and ability to use programming languages such as BASE SAS and SQL.
Strong knowledge of basic and advanced prediction models
Strong knowledge of Forecasting models
Strong exploratory analysis skills
Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
Exceptional organizational skills and detail oriented.
Mastery of statistics, machine learning, algorithms and advanced mathematics
Experience with:
o SAS Forecast Server
o SAS Enterprise Miner

The candidate will be thoroughly interviewed by the SAS Technical team, and then by the Customer.