Commercial Digital Data Scientist
Job Description
The retail landscape is changing at a rapid pace. The boundaries between online and offline have never been more intertwined. In an effort to accelerate the omnichannel transformation agenda, PepsiCo Europe will be investing in developing advanced digital sales solutions for our independent customers
As an innovative company, PepsiCo Europe decided to develop digital platforms and expand them across all of its business units. Additional digital tools & capabilities will be built in light of customers’ needs and PepsiCo’s growth aspirations in the future. We are looking now for a Commercial Digital Data Scientist who will take ownership of advanced analytics models, supporting commercial digital capabilities.
Main Purpose
Produce, manipulate, and interpret model outputs to facilitate use by local teams or local tools.
Support integration of model outputs into local business processes.
Identify and escalate opportunities to enhance and expand model functionality and applications.
Act as a lead point of contact with Sector and GBS Advanced Analytics teams.
Accountabilities
Build & codify local approach: collaborate with sector stakeholders to co-create capabilities, tools & processes to drive efficiency, effectiveness & sufficiency.
Develop best-practices and scale lifting and shifting learnings across countries and categories
Maintenance of existing models
Periodic refresh of existing models across markets and brands
Periodic model validation to check the need for a rebuild
Guiding business with periodic updates
Formulate hypotheses, plan and execute statistical models for measurements/ROI analyses, share results with key leaders as well as drive meta-learnings
Ensuring Statistical robustness of the models and model reads
Ensure timely build and refresh of the models so that it can help in timely business decisions
Actively test data science concepts, and technologies that can be scaled across the portfolio
Partner with PepsiCo functional teams, agencies, and third parties to ensure acquiring, tagging, cataloging, and managing data periodically in structured format as needed for measurement statistical models
Create reusable modeling assets(codes, techniques, functions) to cut short refresh and model build time
Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems
Qualifications/Requirements
Key Skills/Experience Required