Lead Decision Scientist

Job Summary:

Lead solution scoping and development to drive Enterprise Analytics team s partnership with Business teams across Tesco to enable
data driven decisions and deliver on organizations key strategic priorities
In this job, I m accountable for:
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:
Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit Perform other miscellaneous duties as required by management Driving CI culture, implementing CI projects and innovation for withing the team Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical
solution document calling out how application of data science will improve decision making
In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources Building Statistical models and ML algorithms with practitioner level competency Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency
Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs
Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of improvement in the larger Tesco business Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects

You will need