Data Science Head will be responsible to establish the future technical product vision and lead all aspects of the technology product development.
* Enhance data collection procedures to include information that is relevant for building analytic systems.
Strategize and think about new ways to leverage traditional and big data. Processing, cleansing, and verifying the integrity of data used for analysis.
Provide thought leadership to long-term strategic planning process by delivering insightful analysis and perspective.
Support product managers and campaign managers in understanding key business drivers and drive actionable insights to improve the business top-line and bottom line.
* Lead a team of analyst(s) fostering a high performance culture Lead the business analysis for different Digital Banking products.
Subject matter expert on machine learning techniques and algorithms.
Experience with common data science toolkits, such as Weka, NumPy etc. and statistical applications such as SAS, SPSS, R, Revolution R, or similar statistical applications .
Good applied statistics skills, such as distributions, statistical testing, regression, etc.