Work within the SFS business unit supporting data driven initiatives including: build-out of

process, automation, and analytic capabilities.

Tasks

? Assemble large, complex data sets from multiple data sources that meet business

requirements.

? Create and maintain optimal data pipeline architecture.

? Build the infrastructure required for optimal extraction, transformation, and loading of data

from a wide variety of data sources to support ‘big data’ analytics programs, machine

learning and statistical methods.

? Discover and implement internal process improvement: automating manual process,

optimizing data delivery, re-designing infrastructure for greater scalability.

? Conduct study, Identify ways, and Build data analytics tools for actionable insights to

improve data reliability, efficiency and quality for industry questions.

? Work with stakeholders to assist with data-related technical issues and data infrastructure

needs.

? Work with data science competence global team to strive for greater functionality in our

data systems.