- Developing predictive models in the area of marketing
- Understanding business problems and translating it into data mining problems
- Applying techniques such as clustering, classification and association
- The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.
- Machine learning
- Fraud detection
- MS in Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, Financial Engineering or related field.
- Programming skills with either SAS or with ( R, & Python.)
- Experience/Interest in machine learning, data mining, and predictive analysis
- Excellent verbal and written communication skills
- Experience with natural language processing
- Experience in building production machine learning systems using big data
- Experience with open-source tools (Hadoop/Pig/Hive, Mahout, R, Weka, etc.)
- Experience in data visualization and presentation.
All your information will be kept co- MS in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.
nfidential according to EEO guidelines.
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