Background: For Unilever to remain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in Unilever are augmented with insight & recommendations wherever possible.
There are five major themes to the Information and Analytics strategy:
World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting
Main Purpose of the Job:
This is an exciting new role in the Data Science and Analytics group in Information & Analytics, which is tasked to deliver maximum value from data & data science in the eCommerce Area.
You will help to expand our current analytic capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within our ecommerce area.
Specifically, this role will focus on leading the development of data-science and algorithmic solutions that power Unilever’s global ecommerce solutions and business teams. The role will integrate design inputs provided the global Data Science COE and in-market data scientists working on eCommerce; and prioritize the most critical features into their models – ensuring a healthy balance between global scale and local relevancy.
Build learning systems to analyze and filter continuous data flows and offline data analysis
Experience and qualifications required: