Global Supply Planning Data Science Manager

Mondelēz International; Województwo mazowieckie; On-site; PLN 180,000 - 240,000; Full time

Job summary

Mondelēz International is seeking a Data Science professional to support the supply chain by delivering actionable insights from data. You will collaborate with stakeholders to translate data into business solutions using Python, ML, and visualization techniques.

The role involves applying advanced analytical methods (OR, ML) and communicating findings to drive data-driven decisions across the organization. Travel may be required as part of cross-functional projects.

Qualifications

• Experience applying OR methods to real-world problems.
• Project experience with Pyomo or PuLP for optimization.
• Strong numeric and statistical background with data analysis.
• Familiarity with data visualization to communicate results to non-technical stakeholders.

Responsibilities

• Solve OR/Optimization problems in Mondelēz Supply Chain using Python.
• Educate the team on programmatic OR methods.
• Analyze and derive value from data through mathematics, statistics, computer science, ML and data visualization.
• Understand business challenges, create actionable insights from data, and communicate findings to stakeholders.
• Enable data-driven decision making by creating models or prototypes from trends, and monitor results.

Skills

Python

Pyomo

PuLP

R

SQL

Java

JavaScript

C

C++

Machine learning

Education

Bachelor's/Master's degree

Tools

GUROBI

Job description

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 be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

How You Will Contribute

You will:

• Solve OR/Optimization problems in Mondelēz Supply Chain using Python
• Educate the team on programmatic OR methods
• Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
• Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
• Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
• Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
• Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
• Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
• Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

More About This Role

You will be a part of an analytical team not afraid to use Machine Learning or Computer Vision on Azure but also eager to learn business through less sophisticated methods.

What You Will Bring

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

• o9 Solver knowledge is a big plus
• Proven record of OR skills through projects using Pyomo, PuLP
• Perfect understanding of OR problems and alternative ways of solving those
• Knowledge of OR notation languages like AMPL
• Proven record using different solvers available on the market including GUROBI
• Strong quantitative skillset with experience in statistics and linear algebra.
• A natural inclination toward solving complex problems
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
• Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
• Good communication skills to promote cross-team collaboration
• Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
• Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

Education / Certifications: Bachelors /Master's degree

Travel requirements: Travel might be required

No Relocation support available

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.

Job Type

Regular

Data Science

Analytics & Data Science