Python Job: Forecasting, Data Scientist

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 help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

How you will contribute

You will:

• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
• Identify patterns and help the business react to changing business conditions
• Perform root-cause analysis and interpret data
• Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
• Understand and be involved with aspects of the data science process
• As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
• Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
• Develop key performance indicators and create visualizations of the data
• Utilize business intelligence and analytics tool

More about this role

Are You Ready to Make It Happen at Mondelēz International?

Join our mission to change the way the world snacks. 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, new SAP IBP Module, 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

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.

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.
• 2+ years applied knowledge of predictive techniques and time series analysis using statistics, machine learning, or artificial intelligence approaches.
• Experience in any Data Science language like R (preferred) , Python, PySpark, Julia, or MATLAB.
• Knowledge or experience in data science cloud platforms like Databricks 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:

Mexico any region (position 100% remote)

No Relocation support available

Business Unit Summary

Mondelez México has been in the country since 1927 and currently employs 6,000 wonderful people. Our diverse portfolio includes iconic and mouth-watering global brands such as Trident , Oreo , Philadelphia , and local jewels like Clorets and Bubbaloo . We are leaders in the making of cream cheese, powdered beverages and confections—in fact, we make seven out of every 10 chewing gums consumed by Mexicans. Our growth is supported by our cutting-edge manufacturing facilities, such as our Puebla Plant and Nuevo León HUB, which are the largest gums, candies and biscuits factories in the world in terms of volume. You can buy are products in 900,000 places in Mexico. We are also home to one of the 11 technology centers Mondelez International has worldwide, a specialized gum and candy facility that places us at the forefront of innovation and development in the country and drives our purpose to lead the future of snacking. We are pioneers in the country in work-life balance practices such as extended maternity leave, open spaces, remote work and flexible working hours.

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.

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