Employment Spot

Job Description

Scholastic Corporation (NASDAQ: SCHL) is the world�s largest publisher and distributor of children�s books and a leader in educational technology and children�s media. Scholastic creates quality educational and entertaining materials and products for use in school and at home, including children's books, magazines, technology-based products, teacher materials, television programming, film, videos and toys. The Company distributes its products and services through a variety of channels, including proprietary school-based book clubs and school-based book fairs, retail stores, schools, libraries, television networks and the Company�s Internet Site, www.scholastic.com.

Scholastic, the world's largest publisher and distributor of children's books and a leader in educational technology and children's media Corporate Marketing division is seeking to hire a Statistical Analyst with experience in data mining and statistical modeling in a direct marketing environment. This position works across all divisions of Scholastic, and reports to the Director of Data Mining.

The specific roles and responsibilities will include:

Data Mining and Predictive Modeling:
� Develop and maintain multivariate statistical models used to predict customer behavior and to profile customer and school potential.
� Develop marketing segmentations using data mining techniques.
� Interact with marketers throughout all stages of the data mining process � from problem formulation to presentation and implementation of results.
� Consult on the design and statistical analysis of marketing tests, and other statistical topics.

Data Preparation and Reporting:
� Develop data mining data sets and scoring data sets from data warehouse source tables by programming in Base SAS.
� Participate actively in all aspects of model implementation, including scoring, quality control, and assisting in the implementation of models during the campaign selection process.
� Create and maintain reports and report documentation directly related to the evaluation of model performance and the communication of modeling results to management.
� Participate in ad hoc reporting and statistical analysis as needed.

Job Requirements

Specific Skills/Special Requirements:
� BS /BA (Mathematics, Statistics, or other quantitative field) with 2 years experience in multivariate data analysis, modeling and statistics applications in marketing or insurance fields.

Statistics:
� Solid understanding of multivariate linear and logistic regression, clustering analysis, and classification trees, and experience applying these techniques to the mining of large transactional databases.
� Understanding of variable selection, variable transformation, data splitting / cross validation techniques, the imputation of missing variables, and model assessment techniques (concentration curves, ROC curves, etc.)
� Proficient in applications of basic statistics (e.g. design of experiments, ANOVA, exploratory data techniques, etc.).
� Proficient in the general analysis of marketing data through creative use of exploratory reporting and graphical analysis.

Computer programming profiencies:
� Base SAS (the candidate must thoroughly understand the DATA step and all fundamental procedures (PROC SORT, PROC RANK, PROC MEANS, PROC FREQ, PROC TABULATE, etc.), and should have a good basic knowledge of the SAS Macro language, merge techniques, and PROC SQL.
� SAS STAT
� Experience with SAS Enterprise Miner and4 Enterprise Guide a plus.
� Experience with SAS Market Automation a plus.

Other Skills:
� Strong written/verbal skills with the ability to communicate technical information to a non-technical audience.
� High level of independent motivation and creativity as an analyst.
� Ability to work simultaneously on multiple data mining / statistical modeling projects, managing time effectively.