To liaise with various Marketing teams in order to induct them of Data Science concepts in order to address business requirements.
To collaborate with business partners to specify use cases and work with end users for agile use case improvement.
To collaborate with subject matter experts to select the relevant sources of information and translate the business requirements into a data-scientific project.
To collaborate with Data Governance personnel to ensure that the correct standards aligned with the Data pipeline development process.
To build high-performance algorithms, prototypes, predictive models and proof of concepts to review data from various perspectives and generate insightful reports
To refine and tune data models to be able to respond to various homogenous data structures.
To exploit multiple new/existing algorithms for processing data to generate real business value
To discover insights and identify opportunities using statistical, algorithmic, machine Learning/Mining and visualization techniques.
To propose and design data-efficient models that smartly developed in accordance with the quality of existing data.