Data Science Manager, CPG

Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

About Mondelēz International 

At Mondelēz International, we're not just making snacks; we're crafting moments of joy for billions of people around the world. As the Manager of Data Science on our Insights & Analytics team, you'll be at the heart of this mission, shaping our data strategy and driving smarter decisions that fuel our global success.

Mondelēz International empowers people to snack right in over 150 countries around the world. With iconic global and local brands such as Oreo, BelVita, LU, Cadbury Dairy Milk, Milka and Toblerone we've been making delicious moments for people for over 100 years. We're a diverse community of passionate people, united by a shared purpose: to empower people to snack right. 

Make It Possible. In this role, you will create value and support decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze CPG data and generate insights. You will help develop the data science roadmap for the business. 

This role will be 1-2 days in East Hanover office, 3 days remote.

How you will contribute

• Drive Impactful Analytics: Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. You will 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.

• Strategic Roadmap Development Help elevate the data science roadmap for the business, aligning with key strategic priorities and driving long-term growth. 

•  Data Assessment and Acquisition Assess business problems and determine the best internal and external data sources to use or acquire. Identify and establish the veracity of external sources of information relevant to operational needs. 

•  Advanced Data Analysis Apply your expertise in analyzing data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). Develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision-making. 

• 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.

• Recruit talent and build teams with the right mix of skills to staff projects.

What you will bring

• A desire to drive your future and accelerate your career. You will bring experience and knowledge in CPG and Data Science

• Working experience in a quantitative discipline and data science.

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

• Knowledgeable in classification techniques, machine learning and EDA

• Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases.

• Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions.

• Interfacing with high-level stakeholders (SVPs and more).

More about this role

Required Experience:

• 6+ years of experience with at least 2-3 years in the CPG domain

• Strong Applied Knowledge of analytical techniques in statistical modelling, machine learning with exposure to CPG related modeling techniques like Price & Promotion, Marketing Mix, Testing and custom in-store analytics

• In depth knowledge of CPG business acumen and processes is preferred

• Expertise within syndicated data platforms (NielsenIQ, Circana