.OverviewWe Are PepsiCoJoin PepsiCo and Dare for Better!
We are the perfect place for curious people, thinkers and change agents.
From leadership to front lines, we're excited about the future and working together to make the world a better place.Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.A career at PepsiCo means working in a culture where all people are welcome.
Here, you can dare to be you.
No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.Know more: PepsiCoJobsJoin PepsiCo, dare for better.ResponsibilitiesThe OpportunityYour role will be to be part of growing team based in Mexico City, to create and support global digital developments for PepsiCo.
These developments will be around topics like revenue management, supply chain, manufacturing, logistics.You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase.You will work closely with process owners, product owners and final business users.
This will provide you the correct visibility and understanding of criticality of your developments.
Focus of the role will be demand forecasting and other associated analytics.You will be an internal ambassador of the team's culture around data and analytics and become a champion of talent development.
You will provide stewardship to colleagues in the areas that you are and specialist or you are specializing.Your ImpactAs IBP DS Manager PMF your scope would consist of:Lead other team members in the different digital projects acting as a data science lead for the project.Act as a subject matter expert across different digital projects.Act as stream leader in innovation activities.Partner with product managers in taking DS requirements and assessing DS components in roadmaps.Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.Partner with ML engineers working on industrialization.Coordinate work activities with Business teams, other IT services and as required.Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.Communicate with business stakeholders in the process of service design, training and knowledge transfer.Support large-scale experimentation and build data-driven models.Set KPIs and metrics to evaluate analytics solution given a particular use case.Refine requirements into modelling problems