Data Analyst - Demand Planning

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.
You will guarantee execution of statistical and machine learning algorithms to support demand planning process for Latin America markets. You will identify & analyse raw data, obtain insights from it, and share them across dashboards to help business make better and more accurate decisions in the supply chain.
How you will contribute
You will:

• Develop and run codes to check master data and provide insights that help users to have the right data stored in system
• Adapt, execute, and maintain R algorithms to obtain demand forecast for each business unit portfolio.
• Analyse and define the best hyperparameters to have more accurate models.
• Measure and analyse forecast accuracy and execute activities to improve results.
• Support deployment and implementation of different tools related with data, automation, and planning like NPD (New Product Development) Forecasting Tool, o9, Data Lakes, Disaggregation tools.
• Standardize and migrate forecasting codes and tools to cloud solutions like Azure, Google Cloud Platform, R Studio Connect, Databricks.
• Support final users with trainings, explanation and guides in topics related with data for demand planning.
• Have cross-functional understanding about planning process to propose and develop some code's & tool's adjustments according business requirements.

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Make predictions with data science techniques and execute them in data environments.
• Understand complex problems and create simple codes to solve them.

More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking
down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four
fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in
addition to being part of MOVER - Movimento pela Equidade Racial.
What you need to know about this position:
The Forecasting Data Scientist will be responsible for advanced forecasting methodologies to generate accuracy and bias improvements. She/he will be required to:

• Execute, adapt, and maintain the best Statistical models be to be used, to generate high quality demand statistical forecast with low forecast error and bias.

• Collaborate with Demand Planners to identify the right drivers and levers that influences demand and thus incorporate into the statistical forecasting process.

• Analyse the model performance every month where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output, applying fine tune adjustments as needed.

• Run centralized master data check and generate (with algorithms) some complementary products' attributes like segmentation, life cycle status, and seasonality.

• Be the SME (Subject Matter Expert) that supports deployment of different Data Science projects with local and external teams, specially O9 deployment.

Education / Certifications:

• Bachelor's Degree in a technical career related with Stat, Math, Computer Science or Demand is required. Master's in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred.

• Experience and knowledge of predictive techniques and time series analysis using statistics, machine learning, or artificial intelligence approaches.

• Experience in any Data Science language like R Python, PySpark(preferred), Julia, or MATLAB.

• Knowledge or experience in data science cloud platforms like Databricks is a nice to have.

• Knowledge or experience in planning platforms like o9 is a nice to have.

• Experience on working with FMCG, Food & Beverages, Retail, or similar industry data with understanding the business process will be an advantage.

• Should be able to articulate data science outcome into business understandable language.

• Fluent English and Spanish is a must.

Location:
***Position is 100% virtual
***It is possible that he/she is in Colombia, Mexico, Argentina or Brazil, but the fundamental requirement is fluent Spanish and aligned with WACAM's working hours.
Mondelez International is attentive to the future of work and values the wellbeing of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.
No Relocation support available
Business Unit Summary
Our Latin America region is comprised of four Mondelez International business units: Brazil, México, Southern Cone (which includes Argentina, Uruguay and Paraguay) and WACAM (which includes 12 South American countries and the U.S. territory of Puerto Rico); and one stand-alone market: Venezuela. We have approximately 20,000 passionate employees who put in all their energy, hearts and souls to create, market and sell our global iconic brands and beloved local jewels such as Lacta, Field and Terrabusi among others. We are known for our resilience and good humor and live our purpose with passion and commitment.
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
Data Science
Analytics & Data Science