Description

You will:
You will work closely with Regional Data Science Teams located in US, LA and India, IT Team to set standards for tools, platforms and infrastructure for demand forecasting
Contribute to the creation and review of a cross-functional, enterprise-wide approach and culture for analytics and contribute to the development of analytics policy, standards and guidelines
Build relationships with external experts and other advanced IT organizations to maintain knowledge of technological advancements and trends
Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. Also, you will establish and manage functional analytics methods, techniques and capabilities to enable the function to analyze data, generate insights, create value and drive decision making while you measure the progress of initiatives and market successes to the organization
Assess the business problems to be solved and what internal or external data sources to use or acquire
Identify and establish the veracity of the external sources of information that are relevant to the operational needs of the enterprise
Define business-oriented goals for initiative(s) and explain the initiative(s) to business managers
Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:




Experience in working on Demand Planning related projects and programs
Understanding of processes within Demand Planning that link to forecast generation and its consumption
Strong experience in relevant areas including Data Science, Data Analytics, Big Data, Cloud Computing, Machine Learning (time can include relevant degree studies)
At least 5 years of experience creating statistical/ML models on sales data including simulation and/or forecasting, deep understanding of strategic decisions needed to be taken to create a good demand forecast and provide consistent explanation (XAI)
Strong quantitative background in statistics and linear algebra as well as programming knowledge (Python)
Hold a MSc/PhD in a Data Science field such as Mathematics, Economics, Business or a related field. Strong experience in forecasting, segmentation and optimization algorithms
Understanding of XAI methods and their application in real-life scenarios
Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions
Experience in solving Supply Chain business problems through Data Science – with focus on Demand Planning




Very good experience in forecasting for large FMCG companies with deployment to production using advanced and scalable architectures
Working knowledge of o9 is a big plus

No Relocation support available Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type

RegularData ScienceAnalytics & Data Science

📌 o9 Global Data Science (Ciudad de México)
🏢 Mondelēz International
📍 Ciudad de México