| Publication or Company |
Scholastic |
| Job Type |
Book Publishing, Internet/Online/New Media, Magazine Publishing, Teaching/Academia |
| Salary |
Competitive |
| Benefits |
|
| Job Duration |
Full Time |
| Job Location |
New York - SoHo, NY USA |
| Job Requirements |
Description: 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.
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. |
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| Contact |
. . |
| Special Instructions |
Applications are only accepted through our Online Career Center.
Click: Scholastic To Apply
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