Working on the Application Scorecard Development Team under the Data Science umbrella and will be primarily responsible for developing acquisition decisions models. This would be a 100% hands-on work profile with some project management responsibilities
The candidate would be responsible for:
- Development of predictive models using latest machine learning / statistical methods
- Introduce newer methodology in model development & implementation
- Working with vendors to gain industry-knowledge and develop in-house capabilities
- Implementation of models both in the traditional framework as well as in the Big Data ecosystem Predictive model development
- Logistic/Linear Regression, Clustering, D-tree, Feature Selection.
- Artificial Neural Network, SVM, Random Forest
- Subject matter expert in statistical techniques with good exposure in the field of machine learning
- Excellent analytical and problem solving capability
- Ability to guide / mentor junior analyst to deliver on complex analytical projects
- Well conversant with SAS, Python, SQL; Proficiency in Big Data Frameworks an added advantage
- Strong project management and stakeholder management skills
- Strong communication & presentation skills
Didn’t find the job appropriate? Report this Job