Job Information
Mondelez International RGM Data Scientist WACAM in Bogota, Colombia
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.
How you will contribute
You will:
Be the project manager for the Smart Pricing Project in WACAM. This means Interact with local RGM teams, analytics global team and other stakeholders.
Build and automate relevant reports of Price and Packaging, Promotional ROI and Trade Terms performance.
Work with the Global Analytics Team building statistical models to measure regular price elasticity and promotional price elasticity both for consumers and trade.
Build Postmorterm analysis for promotional activities.
Design and implement a machine learning model to predict Promo ROI.
Develop a discount optimization algorithm.
Active enrollment in defining the best data solutions to automate and democratize data in WACAM. Liaison with IBS in this type of projects.
Find Revenue Pools based on Market Analysis of price and packages of Mondelez and the competition.
Build Pricing Scenarios to find the optimal price of SKU/Location.
Simulate net impact of pricing strategies in Volume, Share, Revenue and Margin.
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Strong quantitative skill set with experience in statistical modelling, econometrics modelling such as Regression, Hierarchical Bayesian
Ability to use data visualization tools to showcase data for stakeholders
A natural inclination toward solving complex problems especially related to return on marketing investment, promo efficiency, model explanability and forecasting
Knowledge/experience with statistical programming languages including SAS, R, Python, SQL, etc., to process data and gain insights from it
Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
Good communication skills to build strong relations and team work with Sales Operations, Trade Analytics and Finance.
A desire to drive your future and accelerate your career and the following experience and knowledge:
Using data analysis to make recommendations to analytic leaders
Understanding in best-in-class analytics practices
Knowledge of Indicators (KPI's) and scorecards
Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus
How you will contribute
You will:
Be the project manager for the Smart Pricing Project in WACAM. This means Interact with local RGM teams, analytics global team and other stakeholders.
Build and automate relevant reports of Price and Packaging, Promotional ROI and Trade Terms performance.
Work with the Global Analytics Team building statistical models to measure regular price elasticity and promotional price elasticity both for consumers and trade.
Build Postmorterm analysis for promotional activities.
Design and implement a machine learning model to predict Promo ROI.
Develop a discount optimization algorithm.
Active enrollment in defining the best data solutions to automate and democratize data in WACAM. Liaison with IBS in this type of projects.
Find Revenue Pools based on Market Analysis of price and packages of Mondelez and the competition.
Build Pricing Scenarios to find the optimal price of SKU/Location.
Simulate net impact of pricing strategies in Volume, Share, Revenue and Margin
What extra ingredients you will bring:
A desire to drive your future and accelerate your career and the following experience and knowledge:
Strong quantitative skill set with experience in statistical modelling, econometrics modelling such as Regression, Hierarchical Bayesian
Ability to use data visualization tools to showcase data for stakeholders
A natural inclination toward solving complex problems especially related to return on marketing investment, promo efficiency, model explanability and forecasting
Knowledge/experience with statistical programming languages including SAS, R, Python, SQL, etc., to process data and gain insights from it
Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
Good communication skills to build strong relations and team work with Sales Operations, Trade Analytics and Finance.
Education / Certifications:
- BS in a related field preferred (Engineering, Economics, Mathematics or Statistics).
Job specific requirements:
Minimum 3 years of overall experience in analytics, business intelligence, revenue management or finance.
Knowledge/experience with statistical programming languages including SAS, R, Python, SQL, etc., to process data and gain insights from it
Programming knowledge in other languages such as SQL, or Visual Basics.
Analytics skills such as statistical modeling, simulation and machine learning is a must.
Experience handling large and complex data sets. Previous experience working with Data Warehouse, Data Lake and databases in general.
Good communication skills to build strong relations and team work with Sales Operations, Trade Analytics and Finance.
Good presentation skills.
Proven proficiency in English, written and spoken.
Travel requirements:
- No relocation support available
No Relocation support available
Business Unit Summary
Wacam is Mondelēz International’s Latin America presence with more the 1700 wonderful people proudly representing a diversity of cultures and nationalities. Wacam includes 13 countries: Colombia, Ecuador, Perú, Chile, Bolivia, Panamá, Costa Rica, Nicaragua, Honduras, Guatemela, El Salvador, República Dominicana, Puerto Rico. We make and distribute our global brands and local jewels such as Field, Club Social to over 190 million consumers.
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.
At Mondelez International we work under a hybrid model, in which our offices at WACAM offer us a space for connection, collaboration and co-creation, with attendance being subject to the needs of the teams themselves and/or the business.
Where permitted by internal policies and local laws, new hires are required to be fully vaccinated with the COVID-19 vaccine as a condition of employment by their date of hire, unless they are granted a medical accommodation.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader 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 – both global and local. 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 number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They 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.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.