Epsilon - Senior Statistician/Statistician

About Epsilon :

- Epsilon is an all-encompassing global marketing company, a leader in creating connections between people and brands. We find, acquire and retain customers for brands around the world. We are the first of a new breed, harnessing rich data, groundbreaking technologies, engaging creative and transformative ideas to get the results our clients require.

- We employ over 7000 associates in 70 offices worldwide and are recognized by Ad Age as the #1 World Largest CRM/Direct Marketing Network, and the #1 US Agency from All Disciplines.

Website : http://www.epsilon.com

Summary :

- The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making.

- The Senior Statistician is responsible for the creation and manipulation of complex, large marketing datasets using SAS, SQL and/or other programming languages that enable the execution of advanced analytics.

1) Statistician :

- This position requires excellent applied statistical and data analysis skills with 2-3 years of statistical modeling experience in an industrial setting. The successful candidate will be able to readily design, estimate and interpret such techniques as Cluster Analysis, Factor Analysis, CHAID. Strong background in linear and/or nonlinear modeling is essential.

- Candidates should have a Masters in Statistics or an equivalent quantitative degree or experience. Strong SAS and R programming skills and a willingness to learn are required.

2) Sr. Statistician:

- This position requires excellent applied statistical and data analysis skills with 4-6 years of statistical modeling experience in an industrial setting. The successful candidate will be able to readily design, estimate and interpret such techniques as Cluster Analysis, Factor Analysis, CHAID.

- Strong background in linear and/or nonlinear modeling is essential.

- Candidates should have a Masters in Statistics or an equivalent quantitative degree or experience. Strong SAS and R programming skills and a willingness to learn are required.