Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

How you will contribute

You will:

Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvementsIdentify and incubate best-in-class external partners to drive delivery on projectsWork on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performanceSupport the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructureBuild a professional and reliable teamRun the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

Ability to influence the business agenda and make recommendations to senior leadersLeadership experience in best-in-class analytics practice rolesLeadership experience deploying new analytical approaches in a complex and highly matrixed organizationSavvy in usage of analytics techniques to create business impactsProven people leadership experience

More about this role

In this role you will make an impact on our business supporting decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze data and generate insights. You will have the develop & deploy unique data science solutions for the business.  

What you need to know about this position:

Inspire & lead a team of data scientists and analysts, provide guidance on high impact projects. 

Influence standards for data modelling and design tools and techniques and advise on their application and you will work with IT to set standards for tools, platforms and infrastructure 

Contribute to the creation and review of a cross-functional, enterprise-wide approach and culture of analytics and contribute to the development of analytics policy, standards and guidelines 

team including manage talent & career foster a learning environment & build a high performing organization. 

Build relationships with external experts and other advanced IT organizations to maintain knowledge of technology advancements and trends 

Manage the introduction and use of analytics to meet business requirements, ensuring consistency across the team. Also, you will be responsible to adopt 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 

Apply your expertise in analysis of data with high volumes, velocities and variety (numbers, symbols, text, sound and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making 

Understand the identification, validation and exploitation of internal and external data sets generated from a diverse range of functional processes and in general you will be an expert in functional data and data sets 

What extra ingredients you will bring:

A desire to drive your future and accelerate your career. You will bring experience and knowledge in: 

Minimum 15 years of experience in relevant areas including Data Science, Data Analytics, Big Data, Cloud Computing, Machine Learning (time can include relevant degree studies) 

At least 10 years of managing analytics teams, working collaboratively with multiple stakeholders. 

Demonstrated experience in hiring, retaining & coaching geographically dispersed teams.  

Strong quantitative background in statistics and linear algebra as well as programming knowledge 

Hold a MSc/PhD in a Data Science field such as Mathematics, Statistics, Economics, Business or a related field. Strong experience in forecasting, segmentation and optimization algorithms 

Expert in classification techniques, regression techniques, collaborative filtering, association rules, and heuristics approaches and their applications to real-life business scenarios 

Proven record of designing scalable Data Science solutions with expert understanding of architectural choices that need to be made 

Demonstrated ability to work in an agile environment 

Bring experience with managing and coaching large teams of senior Data Scientists and managers and have an ability to build and grow Data Science teams as needed. 

Proficiency in navigating Cloud solutions and architecture – Azure and Google Cloud Platform 

Very good understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, Databricks and familiarity querying databases 

Very good understanding of critical Spark Performance Tuning on Databricks 

Ability to calculate the cost of end to end solution (both CAPEX and OPEX side) 

High understanding of Databricks platform and Spark performance tuning 

Proven experience of creating end-to-end Data Science solutions architectures including CI/CD, MLOps etc. 

Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions 

Experience interfacing with high-level stakeholders (Senior Directors, VPs, SVPs and C-level) 

Experience in solving Supply Chain business problems through Data Science – including Supply Side, Demand Side, Procurement 

Knowledge of running Machine Learning for IoT 

Experience in forecasting for large FMCG companies with deployment to production using advanced and scalable architectures 

Education / Certifications:

Job specific requirements:

Travel requirements:

Work schedule:

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

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

Regular

Analytics & Modelling

Analytics & Data Science