*Hello Professional,Hope you are doing well !Please send the resume
to: [email protected]
<[email protected]>JobTitle: SAS Modeler $35/hr on
C2CLocation:Jacksonville FLDuration:6MOnths*
Responsibilities include:
This job provides statistical consulting for direct marketing campaigns
based on analyzing data and creating models to increase efficiencies of
campaigns
Develop propensity models based on campaign response, lead distribution,
customer attrition, and cross selling opportunities.
Develop database specifications for segmentation, targeting, fulfillment,
data enhancement, contact data set creation and relationship marketing
campaign programming.
Track, report, and analyze data to recommend retention strategies,
acquisition strategies, and maximization of customer lifetime value through
effective use of relationship marketing.
Extract and aggregate consumer data as needed for model development.
Perform exploratory data analysis, data cleansing, and data visualization
using data mining tools.
Develop and apply data transformations and derivations to support
downstream modeling initiatives.
Utilize statistical/data mining techniques (e.g. clustering, missing value
patterns) to impute missing values in modeling datasets.
Score consumer data sets and campaign lists for effectiveness and optimized
sales results, as needed.
Translate business needs to data elements in the Marketing Database and
other data marts to source, extract, match and modify data to enable
modeling efforts.
Develop and validate multiple models (e.g., Decision Trees, Logistic
Regression, Neural Networks) to address business problems.
Utilize profit matrices to maximize ROI on models.
Develop, document, and maintain standards for campaign data storage and
retrieval within multiple systems to ensure consistency and integrity of
all data used for business modeling and forecasting.
Required Experience:
Bachelor’s degree in Statistics, Mathematics, Finance or related field or
equivalent work experience.
Minimum 3-5 years’ experience in marketing science, statistical analysis,
market response modeling, data mining, business modeling and forecasting.
SAS, SQL, Analysis, and Data Mining
Advanced
Experience in database marketing capabilities and relational database
architectures.
Demonstrated relationship skills, active listening skills, and the ability
to understand, translate, and communicate marketing and data concepts.
Ability to track, to report, and to analyze data/results and make strategy
recommendations for multi-facet, complex direct-marketing campaigns.
Ability to leverage reporting, analytical, and data mining software tools,
e.g. statistical software and databases - SAS, SAS Enterprise Miner and
SQL.
Ability to use statistical mining techniques, e.g. Decision Trees, Logistic
Regression, Neural Networks, Clustering, Missing Value Patterns.
Ability to use model selection techniques, e.g. Lift/ROC curves.
Ability to manage multiple projects simultaneously.
Strong attention to detail.
Regards,
Nathan
203 -652 -1444- 154
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